PixelSNAIL: An Improved Autoregressive Generative Model

28 December 2017

Pieter Abbeel

Papers citing "PixelSNAIL: An Improved Autoregressive Generative Model"

50 / 69 papers shown

Title
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations Ziyang Zhang Yang Yu Yucheng Chen Xulei Yang S. Yeo MedIm 56 1 0 02 Mar 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 82 4 0 20 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 90 63 0 17 Jan 2025
Circuit Complexity Bounds for Visual Autoregressive Model Yekun Ke Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 45 5 0 08 Jan 2025
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis Jinbin Bai Tian-Chun Ye Wei Chow Enxin Song Qing-Guo Chen Hefei Ling Zhen Dong Lei Zhu 71 14 0 10 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Yao Teng Han Shi Xian Liu Xuefei Ning Guohao Dai Yu Wang Zhenguo Li Xihui Liu 58 10 0 02 Oct 2024
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 62 184 0 17 Jun 2024
Self-Supervised Learning Based Handwriting Verification Mihir Chauhan Mohammad Abuzar Shaikh Abhishek Satbhai Mir Basheer Ali B. Ramamurthy Mingchen Gao Siwei Lyu Sargur Srihari 24 2 0 28 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma Dheeraj M. Nagaraj Karthikeyan Shanmugam VLM 75 2 0 27 May 2024
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Youzuo Lin 33 2 0 25 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 32 12 0 22 May 2023
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 33 1 0 19 May 2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding Jiacheng Li Longhui Wei Zongyuan Zhan Xinfu He Siliang Tang Qi Tian Yueting Zhuang 29 4 0 07 Mar 2023
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer Ning Yu Chia-Chih Chen Zeyuan Chen Rui Meng Ganglu Wu P. Josel Juan Carlos Niebles Caiming Xiong Ran Xu ViT DiffM 26 7 0 19 Dec 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 42 20 0 07 Nov 2022
Full-band General Audio Synthesis with Score-based Diffusion Santiago Pascual Gautam Bhattacharya Chunghsin Yeh Jordi Pons Joan Serrà DiffM 30 33 0 26 Oct 2022
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting Thomas Lucas Fabien Baradel Philippe Weinzaepfel Grégory Rogez 22 70 0 19 Oct 2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator Younggyo Seo Kimin Lee Fangchen Liu Stephen James Pieter Abbeel VGen 29 28 0 15 Sep 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
Text2Human: Text-Driven Controllable Human Image Generation Yuming Jiang Shuai Yang Haonan Qiu Wayne Wu Chen Change Loy Ziwei Liu DiffM 122 46 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 197 135 0 30 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 73 1,526 0 07 Apr 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 35 32 0 17 Mar 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 24 14 0 10 Feb 2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation Xingguang Yan Liqiang Lin Niloy J. Mitra Dani Lischinski Daniel Cohen-Or Hui Huang ViT 76 114 0 25 Jan 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 18 41 0 03 Dec 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 15 2 0 17 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 49 485 0 09 Oct 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 19 19 0 16 Sep 2021
GANmapper: geographical data translation Abraham Noah Wu Filip Biljecki GAN 21 41 0 07 Aug 2021
Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren H. Dai Zihang Dai Mengjiao Yang J. Leskovec Dale Schuurmans Bo Dai 87 77 0 12 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 44 857 0 07 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE Jialun Peng Dong Liu Songcen Xu Houqiang Li DiffM 25 191 0 18 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 23 9 0 16 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 67 0 02 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,541 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 627 0 22 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 64 2,837 0 17 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 339 0 20 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 13 0 0 11 Nov 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 17 39 0 25 Oct 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 30 153 0 06 Aug 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak N. Xu Zhe-nan Lin Yilin Wang 24 12 0 20 Jul 2020
Autoregressive Unsupervised Image Segmentation Yassine Ouali C´eline Hudelot Myriam Tami SSL 35 86 0 16 Jul 2020
Structure-Aware Human-Action Generation Ping Yu Yang Zhao Chunyuan Li Junsong Yuan Changyou Chen GNN 32 38 0 04 Jul 2020