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We present 4KAgent, a unified agentic super-resolution generalist system designed to universally upscale any image to 4K resolution (and even higher, if applied iteratively).
Contrast limited adaptive histogram equalization
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
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Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
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Ridge-based vessel segmentation in color images of the retina
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Image quality assessment: from error visibility to structural similarity
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Single image haze removal using dark channel prior
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Image super-resolution via sparse representation
Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma · 2010
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On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2010
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A super-resolution reconstruction algorithm for surveillance images
Liangpei Zhang, Hongyan Zhang, Huanfeng Shen, and Pingxiang Li · 2010
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Fsim: A feature similarity index for image quality assessment
Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang · 2011
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Low-complexity single-image super-resolution based on nonnegative neighbor embedding
Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie Line Alberi-Morel · 2012
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Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
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Learning a deep convolutional network for image super-resolution
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2014
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A survey on concept drift adaptation
João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia · 2014
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Super-resolution microscopy: a comparison of commercially available options
Jennifer A Thorley, Jeremy Pike, and Joshua Z Rappoport · 2014
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A comparative study of different level interpolations for improving spatial resolution in diffusion tensor imaging
Feng Yang, Yue-Min Zhu, Jian-Hua Luo, Marc Robini, Jie Liu, and Pierre Croisille · 2014
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Compression artifacts reduction by a deep convolutional network
Chao Dong, Yubin Deng, Chen Change Loy, and Xiaoou Tang · 2015
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
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Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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A feature-enriched completely blind image quality evaluator
Lin Zhang, Lei Zhang, and Alan C Bovik · 2015
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https://www.nist.gov/system/files/documents/2016/10/06/final_vqipsworkshopreport_092912.pdf
Video quality in public safety (VQiPS) workshop report · 2016
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Accelerating the super-resolution convolutional neural network
Chao Dong, Chen Change Loy, and Xiaoou Tang · 2016
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Lime: Low-light image enhancement via illumination map estimation
Xiaojie Guo, Yu Li, and Haibin Ling · 2016
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Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Conditional image generation with pixelcnn decoders
Aaron Van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
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Coarse-to-fine learning for single-image super-resolution
Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li, and Jie Li · 2016
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Pixel recursive super resolution
Ryan Dahl, Mohammad Norouzi, and Jonathon Shlens · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
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Sketch-based manga retrieval using manga109 dataset
Yusuke Matsui, Kota Ito, Yuji Aramaki, Azuma Fujimoto, Toru Ogawa, Toshihiko Yamasaki, and Kiyoharu Aizawa · 2017
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Image super-resolution via deep recursive residual network
Ying Tai, Jian Yang, and Xiaoming Liu · 2017
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Memnet: A persistent memory network for image restoration
Ying Tai, Jian Yang, Xiaoming Liu, and Chunyan Xu · 2017
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M Summers · 2017
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Aid: A benchmark data set for performance evaluation of aerial scene classification
Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, Liangpei Zhang, and Xiaoqiang Lu · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
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An energy-efficient fpga-based deconvolutional neural networks accelerator for single image super-resolution
Jung-Woo Chang, Keon-Woo Kang, and Suk-Ju Kang · 2018
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Brain mri super resolution using 3d deep densely connected neural networks
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G Christodoulou, and Debiao Li · 2018
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Distribution matching losses can hallucinate features in medical image translation
Joseph Paul Cohen, Margaux Luck, and Sina Honari · 2018
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Deep back-projection networks for super-resolution
Muhammad Haris, Gregory Shakhnarovich, and Norimichi Ukita · 2018
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Privacy’s blueprint: The battle to control the design of new technologies
Woodrow Hartzog · 2018
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Identifying medical diagnoses and treatable diseases by image-based deep learning
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina CS Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan, et al · 2018
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Fast and accurate image super-resolution with deep laplacian pyramid networks
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2018
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Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2018
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Multi-scale residual network for image super-resolution
Juncheng Li, Faming Fang, Kangfu Mei, and Guixu Zhang · 2018
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1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
G. Litjens, P. Bandi, B. Ehteshami Bejnordi, O. Geessink, M. Balkenhol, P. Bult, A. Halilovic, M. Hermsen, R. van de Loo, R. Vogels, Q.F. Manson, N. Stathonikos, A. Baidoshvili, P. van Diest, C. Wauters, M. van Dijk, and J. van der Laak · 2018
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Learning under concept drift: A review
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, Joao Gama, and Guangquan Zhang · 2018
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Generating high fidelity images with subscale pixel networks and multidimensional upscaling
Jacob Menick and Nal Kalchbrenner · 2018
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Landsat super-resolution enhancement using convolution neural networks and sentinel-2 for training
Darren Pouliot, Rasim Latifovic, Jon Pasher, and Jason Duffe · 2018
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Scale-recurrent network for deep image deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen, Jue Wang, and Jiaya Jia · 2018
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Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
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A fully progressive approach to single-image super-resolution
Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine-Hornung, Olga Sorkine-Hornung, and Christopher Schroers · 2018
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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
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Content-aware image restoration: pushing the limits of fluorescence microscopy
Martin Weigert, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley, et al · 2018
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Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Image super-resolution using very deep residual channel attention networks
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, and Yun Fu · 2018
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Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
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Ssr2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions
Ramzi Abiantun, Felix Juefei-Xu, Utsav Prabhu, and Marios Savvides · 2019
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Toward real-world single image super-resolution: A new benchmark and a new model
Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, and Lei Zhang · 2019
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Low-resolution palmprint image denoising by generative adversarial networks
Shengjie Chen, Shuo Chen, Zhenhua Guo, and Yushen Zuo · 2019
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Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Multi-scale deep neural networks for real image super-resolution
Shangqi Gao and Xiahai Zhuang · 2019
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Self-guided network for fast image denoising
Shuhang Gu, Yawei Li, Luc Van Gool, and Radu Timofte · 2019
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Key challenges for delivering clinical impact with artificial intelligence
Christopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King · 2019
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Mobisr: Efficient on-device super-resolution through heterogeneous mobile processors
Royson Lee, Stylianos I Venieris, Lukasz Dudziak, Sourav Bhattacharya, and Nicholas D Lane · 2019
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Feedback network for image super-resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, and Wei Wu · 2019
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Dual residual networks leveraging the potential of paired operations for image restoration
Xing Liu, Masanori Suganuma, Zhun Sun, and Takayuki Okatani · 2019
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Progressive image deraining networks: A better and simpler baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng · 2019
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Super-resolution microscopy demystified
Lothar Schermelleh, Alexia Ferrand, Thomas Huser, Christian Eggeling, Markus Sauer, Oliver Biehlmaier, and Gregor PC Drummen · 2019
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The effects of super-resolution on object detection performance in satellite imagery
Jacob Shermeyer and Adam Van Etten · 2019
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Ct super-resolution gan constrained by the identical, residual, and cycle learning ensemble (gan-circle)
Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, et al · 2019
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Free-form image inpainting with gated convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 2019
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Channel splitting network for single mr image super-resolution
Xiaole Zhao, Yulun Zhang, Tao Zhang, and Xueming Zou · 2019
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On instabilities of deep learning in image reconstruction and the potential costs of ai
Vegard Antun, Francesco Renna, Clarice Poon, Ben Adcock, and Anders C Hansen · 2020
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Semantic photo manipulation with a generative image prior
David Bau, Hendrik Strobelt, William Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, and Antonio Torralba · 2020
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Learning spatial attention for face super-resolution
Chaofeng Chen, Dihong Gong, Hao Wang, Zhifeng Li, and Kwan-Yee K Wong · 2020
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Joint spatial-wavelet dual-stream network for super-resolution
Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, and Yixuan Yuan · 2020
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Image quality assessment: Unifying structure and texture similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2020
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Image processing using multi-code gan prior
Jinjin Gu, Yujun Shen, and Bolei Zhou · 2020
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Image-adaptive gan based reconstruction
Shady Abu Hussein, Tom Tirer, and Raja Giryes · 2020
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Underwater image super-resolution using deep residual multipliers
Md Jahidul Islam, Sadman Sakib Enan, Peigen Luo, and Junaed Sattar · 2020
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Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception
Md Jahidul Islam, Peigen Luo, and Junaed Sattar · 2020
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Multi-scale progressive fusion network for single image deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, and Junjun Jiang · 2020
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Srnpu: An energy-efficient cnn-based super-resolution processor with tile-based selective super-resolution in mobile devices
Juhyoung Lee, Jinsu Lee, and Hoi-Jun Yoo · 2020
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Object detection in optical remote sensing images: A survey and a new benchmark
Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han · 2020
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Pulse: Self-supervised photo upsampling via latent space exploration of generative models
Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, and Cynthia Rudin · 2020
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Simulation-based lidar super-resolution for ground vehicles
Tixiao Shan, Jinkun Wang, Fanfei Chen, Paul Szenher, and Brendan Englot · 2020
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Xiaoshi Wu, Yiming Hao, Keqiang Sun, Yixiong Chen, Feng Zhu, Rui Zhao, and Hongsheng Li · 2023
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Diffir: Efficient diffusion model for image restoration
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, and Luc Van Gool · 2023
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Online video super-resolution with convolutional kernel bypass grafts
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, and Kin-Man Lam · 2023
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Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Xianyu Jin, and Liangpei Zhang · 2023
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023
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Between life and death: strategies to reduce phototoxicity in super-resolution microscopy
Kalina L Tosheva, Yue Yuan, Pedro Matos Pereira, Siân Culley, and Ricardo Henriques · 2020
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Deep learning for image super-resolution: A survey
Zhihao Wang, Jian Chen, and Steven CH Hoi · 2020
Cited alongside, same era.
Component divide-and-conquer for real-world image super-resolution
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin · 2020
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Low-dose chest x-ray image super-resolution using generative adversarial nets with spectral normalization
Liming Xu, Xianhua Zeng, Zhiwei Huang, Weisheng Li, and He Zhang · 2020
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From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, and Alan Bovik · 2020
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Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
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Rethinking coarse-to-fine approach in single image deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, and Sung-Jea Ko · 2021
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Enriched cnn-transformer feature aggregation networks for super-resolution
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, and Tae Hyun Kim · 2023
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Resshift: Efficient diffusion model for image super-resolution by residual shifting
Zongsheng Yue, Jianyi Wang, and Chen Change Loy · 2023
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All-in-one multi-degradation image restoration network via hierarchical degradation representation
Cheng Zhang, Yu Zhu, Qingsen Yan, Jinqiu Sun, and Yanning Zhang · 2023
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Llama 3.2-vision
Meta AI · 2024
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Sr-caco-2: A dataset for confocal fluorescence microscopy image super-resolution
Soufiane Belharbi, Mara Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, and Eric Granger · 2024
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Topiq: A top-down approach from semantics to distortions for image quality assessment
Chaofeng Chen, Jiadi Mo, Jingwen Hou, Haoning Wu, Liang Liao, Wenxiu Sun, Qiong Yan, and Weisi Lin · 2024
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Restoreagent: Autonomous image restoration agent via multimodal large language models
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, and Lei Zhu · 2024
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Low-res leads the way: Improving generalization for super-resolution by self-supervised learning
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, and Lei Zhu · 2024
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Dsl-fiqa: Assessing facial image quality via dual-set degradation learning and landmark-guided transformer
Wei-Ting Chen, Gurunandan Krishnan, Qiang Gao, Sy-Yen Kuo, Sizhou Ma, and Jian Wang · 2024
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A comparative study of image restoration networks for general backbone network design
Xiangyu Chen, Zheyuan Li, Yuandong Pu, Yihao Liu, Jiantao Zhou, Yu Qiao, and Chao Dong · 2024
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Hmanet: Hybrid multi-axis aggregation network for image super-resolution
Shu-Chuan Chu, Zhi-Chao Dou, Jeng-Shyang Pan, Shaowei Weng, and Junbao Li · 2024
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Instructir: High-quality image restoration following human instructions
Marcos V Conde, Gregor Geigle, and Radu Timofte · 2024
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Revitalizing convolutional network for image restoration
Yuning Cui, Wenqi Ren, Xiaochun Cao, and Alois Knoll · 2024
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Agent ai: Surveying the horizons of multimodal interaction
Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, et al · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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Drct: Saving image super-resolution away from information bottleneck
Chih-Chung Hsu, Chia-Ming Lee, and Yi-Shiuan Chou · 2024
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Understanding the planning of llm agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, and Enhong Chen · 2024
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Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al · 2024
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Autodir: Automatic all-in-one image restoration with latent diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, and Jinwei Gu · 2024
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Transparent medical image AI via an image–text foundation model grounded in medical literature
Chanwoo Kim, Soham U. Gadgil, Alex J. DeGrave, Jesutofunmi A. Omiye, Zhuo Ran Cai, Roxana Daneshjou, and Su-In Lee · 2024
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Efficient visual state space model for image deblurring
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Towards effective multiple-in-one image restoration: A sequential and prompt learning strategy
Xiangtao Kong, Chao Dong, and Lei Zhang · 2024
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A preliminary exploration towards general image restoration
Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, and Chao Dong · 2024
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Mmctagent: Multi-modal critical thinking agent framework for complex visual reasoning
Somnath Kumar, Yash Gadhia, Tanuja Ganu, and Akshay Nambi · 2024
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Genai-bench: Evaluating and improving compositional text-to-visual generation
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Sed: Semantic-aware discriminator for image super-resolution
Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng, Zhizheng Zhang, and Zhibo Chen · 2024
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Light the night: A multi-condition diffusion framework for unpaired low-light enhancement in autonomous driving
Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, and Hongkai Yu · 2024
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Diffbir: Toward blind image restoration with generative diffusion prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Yu Qiao, Wanli Ouyang, and Chao Dong · 2024
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Auto-isp: An efficient real-time automatic hyperparameter optimization framework for isp hardware system
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Medcot: Medical chain of thought via hierarchical expert
Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, and Zuozhu Liu · 2024
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Diff-plugin: Revitalizing details for diffusion-based low-level tasks
Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, and Rynson WH Lau · 2024
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Dream-machine
Luma · 2024
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Fourier priors-guided diffusion for zero-shot joint low-light enhancement and deblurring
Xiaoqian Lv, Shengping Zhang, Chenyang Wang, Yichen Zheng, Bineng Zhong, Chongyi Li, and Liqiang Nie · 2024
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Few shot chain-of-thought driven reasoning to prompt llms for open ended medical question answering
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M2trans: Multi-modal regularized coarse-to-fine transformer for ultrasound image super-resolution
Zhangkai Ni, Runyu Xiao, Wenhan Yang, Hanli Wang, Zhihua Wang, Lihua Xiang, and Liping Sun · 2024
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Video generation models as world simulators
OpenAI, Tim Brooks, Bill Peebles, Connor Holmes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, Clarence Ng, Ricky Wang, and Aditya Ramesh · 2024
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Clib-fiqa: face image quality assessment with confidence calibration
Fu-Zhao Ou, Chongyi Li, Shiqi Wang, and Sam Kwong · 2024
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Goex: Perspectives and designs towards a runtime for autonomous llm applications
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An end-to-end pipeline perspective on video streaming in best-effort networks: a survey and tutorial
Leonardo Peroni and Sergey Gorinsky · 2024
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