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Recently, Visual Autoregressive ($\mathsf{VAR}$) Models introduced a groundbreaking advancement in the field of image generation, offering a scalable approach through a coarse-to-fine ``next-scale prediction'' paradigm.
On the complexity of k-sat
Russell Impagliazzo and Ramamohan Paturi · 2001
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Tutorial on variational autoencoders
Carl Doersch · 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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Pixelsnail: An improved autoregressive generative model
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, and Pieter Abbeel · 2018
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Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron Van den Oord, and Oriol Vinyals · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Crea. blender: a neural network-based image generation game to assess creativity
Janet Rafner, Arthur Hjorth, Sebastian Risi, Lotte Philipsen, Charles Dumas, Michael Mose Biskjær, Lior Noy, Kristian Tylén, Carsten Bergenholtz, Jesse Lynch, et al · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Cogview: Mastering text-to-image generation via transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, et al · 2021
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Optimal-degree polynomial approximations for exponentials and gaussian kernel density estimation
Amol Aggarwal and Josh Alman · 2022
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Cogview2: Faster and better text-to-image generation via hierarchical transformers
Ming Ding, Wendi Zheng, Wenyi Hong, and Jie Tang · 2022
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Cascaded diffusion models for high fidelity image generation
Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans · 2022
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Autoregressive image generation using residual quantization
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, and Wook-Shin Han · 2022
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A fast ode solver for diffusion probabilistic model sampling in around 10 steps
C Lu, Y Zhou, F Bao, J Chen, and C Li · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Fast attention requires bounded entries
Josh Alman and Zhao Song · 2023
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All are worth words: A vit backbone for diffusion models
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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Dolfin: Diffusion layout transformers without autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, and Zhuowen Tu · 2023
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Introducing meta llama 3: The most capable openly available llm to date, 2024
Meta AI · 2024
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Advances in medical image analysis with vision transformers: a comprehensive review
Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, and Dorit Merhof · 2024
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The claude 3 model family: Opus, sonnet, haiku, 2024
Anthropic · 2024
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Fast rope attention: Combining the polynomial method and fast fourier transform
Differential privacy mechanisms in neural tangent kernel regression
Yingyu Liang, Zhizhou Sha, Zhenmei Shi, and Zhao Song · 2024
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Differential privacy of cross-attention with provable guarantee
Yingyu Liang, Zhenmei Shi, Zhao Song, and Yufa Zhou · 2024
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Tensor attention training: Provably efficient learning of higher-order transformers
Yingyu Liang, Zhenmei Shi, Zhao Song, and Yufa Zhou · 2024
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Score-based generative diffusion models for social recommendations
Chengyi Liu, Jiahao Zhang, Shijie Wang, Wenqi Fan, and Qing Li · 2024
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Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang · 2024
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Josh Alman and Zhao Song · 2024
Cited alongside, same era.
The fine-grained complexity of gradient computation for training large language models
Josh Alman and Zhao Song · 2024
Cited alongside, same era.
How to capture higher-order correlations? generalizing matrix softmax attention to kronecker computation
Josh Alman and Zhao Song · 2024
Cited alongside, same era.
Augmented reality in spine surgery–past, present, and future
Tej D Azad, Anmol Warman, Jovanna A Tracz, Liam P Hughes, Brendan F Judy, and Timothy F Witham · 2024
Cited alongside, same era.
Fast gradient computation for rope attention in almost linear time
Yifang Chen, Jiayan Huo, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, and Zhao Song · 2024
Cited alongside, same era.
Hsr-enhanced sparse attention acceleration
Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, and Zhao Song · 2024
Cited alongside, same era.
Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, and Han Liu · 2024
Cited alongside, same era.
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Introducing openai o1-preview
OpenAI · 2024
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Visual autoregressive modeling: Scalable image generation via next-scale prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, and Liwei Wang · 2024
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STanhop: Sparse tandem hopfield model for memory-enhanced time series prediction
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, and Han Liu · 2024
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2024
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Tokencompose: Text-to-image diffusion with token-level supervision
Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, and Zhuowen Tu · 2024
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Omnicontrolnet: Dual-stage integration for conditional image generation
Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, and Zhuowen Tu · 2024
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Bishop: Bi-directional cellular learning for tabular data with generalized sparse modern hopfield model
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, and Han Liu · 2024
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Bayesian diffusion models for 3d shape reconstruction
Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, and Zhuowen Tu · 2024
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Raphael: Text-to-image generation via large mixture of diffusion paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, and Ping Luo · 2024
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Pixart- s i g m a sigma : Weak-to-strong training of diffusion transformer for 4k text-to-image generation
Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, and Zhenguo Li · 2025
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Mambair: A simple baseline for image restoration with state-space model
Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, and Shu-Tao Xia · 2025
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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 · 2025
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Neural algorithmic reasoning for hypergraphs with looped transformers
Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, and Zhen Zhuang · 2025
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Lazydit: Lazy learning for the acceleration of diffusion transformers
Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, and Jiuxiang Gu · 2025
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Numerical pruning for efficient autoregressive models
Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, and Jiuxiang Gu · 2025
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