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3D immersive scene generation is a challenging yet critical task in computer vision and graphics.
No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik. 2012a · 2012
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Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik. 2012b · 2012
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Image style transfer using convolutional neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition . 2414–2423
Leon A Gatys, Alexander S Ecker, and Matthias Bethge. 2016 · 2016
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Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang. 2017 · 2017
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In NIPS . 6626–6637
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
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Scene parsing through ade20k dataset. In Proceedings of the IEEE conference on computer vision and pattern recognition . 633–641
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba. 2017 · 2017
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The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE conference on computer vision and pattern recognition . 586–595
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018
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3d photography using context-aware layered depth inpainting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8028–8038
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang. 2020 · 2020
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CLIPScore: A Reference-free Evaluation Metric for Image Captioning. In EMNLP (1) . Association for Computational Linguistics, 7514–7528
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Resolution-robust Large Mask Inpainting with Fourier Convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky. 2021 · 2021
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Text2light: Zero-shot text-driven hdr panorama generation
Zhaoxi Chen, Guangcong Wang, and Ziwei Liu. 2022 · 2022
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Infinitenature-zero: Learning perpetual view generation of natural scenes from single images. In European Conference on Computer Vision . Springer, 515–534
Zhengqi Li, Qianqian Wang, Noah Snavely, and Angjoo Kanazawa. 2022 · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022
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360monodepth: High-resolution 360deg monocular depth estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3762–3772
Manuel Rey-Area, Mingze Yuan, and Christian Richardt. 2022 · 2022
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LAION-5B: An open large-scale dataset for training next generation image-text models. In NeurIPS
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev. 2022 · 2022
Cited alongside, same era.
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
Guangcong Wang, Yinuo Yang, Chen Change Loy, and Ziwei Liu. 2022 · 2022
Cited alongside, same era.
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, and Tali Dekel. 2023 · 2023
Cited alongside, same era.
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. In ICCV . IEEE, 2139–2150
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, and Gordon Wetzstein. 2023 · 2023
Cited alongside, same era.
Text2Immersion: Generative Immersive Scene with 3D Gaussians
Hao Ouyang, Kathryn Heal, Stephen Lombardi, and Tiancheng Sun. 2023 · 2023
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Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng. 2023a · 2023
Later among the works it cites.
CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting
Alexander Vilesov, Pradyumna Chari, and Achuta Kadambi. 2023 · 2023
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Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization
Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang. 2023 · 2023
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Jaeyoung Chung, Suyoung Lee, Hyeongjin Nam, Jaerin Lee, and Kyoung Mu Lee. 2023 · 2023
Cited alongside, same era.
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
Cited alongside, same era.
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
Mengyang Feng, Jinlin Liu, Miaomiao Cui, and Xuansong Xie. 2023 · 2023
Cited alongside, same era.
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman, Amit Abecasis, Yoni Kasten, and Tali Dekel. 2023 · 2023
Cited alongside, same era.
Text2room: Extracting textured 3d meshes from 2d text-to-image models
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, and Matthias Nießner. 2023 · 2023
Cited alongside, same era.
Oneformer: One transformer to rule universal image segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2989–2998
Jitesh Jain, Jiachen Li, Mang Tik Chiu, Ali Hassani, Nikita Orlov, and Humphrey Shi. 2023 · 2023
Cited alongside, same era.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
Cited alongside, same era.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Cited alongside, same era.
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, and Charles Herrmann. 2023 · 2023
Later among the works it cites.
Cat3d: Create anything in 3d with multi-view diffusion models
Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T Barron, and Ben Poole. 2024 · 2024
Closest in time.
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling
Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik hang Lee, and Pengyuan Zhou. 2024 · 2024
Closest in time.
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, and Yang Cao. 2024 · 2024
Closest in time.
GeoCalib: Learning Single-image Calibration with Geometric Optimization
Alexander Veicht, Paul-Edouard Sarlin, Philipp Lindenberger, and Marc Pollefeys. 2024 · 2024
Closest in time.
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
Tianhao Wu, Chuanxia Zheng, and Tat-Jen Cham. 2024 · 2024
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Taming Stable Diffusion for Text to 360 Panorama Image Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 6347–6357
Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, and Jianfei Cai. 2024 · 2024
Closest in time.
Transparent Image Layer Diffusion using Latent Transparency
Lvmin Zhang and Maneesh Agrawala. 2024 · 2024
Closest in time.
HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions
Haiyang Zhou, Xinhua Cheng, Wangbo Yu, Yonghong Tian, and Li Yuan. 2024a · 2024
Closest in time.
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting
Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, and Achuta Kadambi. 2024b · 2024
Closest in time.