Autoregressive Distillation of Diffusion Transformers

15 April 2025

Papers citing "Autoregressive Distillation of Diffusion Transformers"

25 / 25 papers shown

Title
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 53 22 0 30 May 2024
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin Michael Gharbi Taesung Park Richard Zhang Eli Shechtman Frédo Durand William T. Freeman DiffM 66 108 0 23 May 2024
Generative Multimodal Models are In-Context Learners Quan-Sen Sun Yufeng Cui Xiaosong Zhang Fan Zhang Qiying Yu ... Yueze Wang Yongming Rao Jingjing Liu Tiejun Huang Xinlong Wang MLLM LRM 99 258 0 20 Dec 2023
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack Xiaoliang Dai Ji Hou Chih-Yao Ma Sam S. Tsai Jialiang Wang ... Roshan Sumbaly Vignesh Ramanathan Zijian He Peter Vajda Devi Parikh VLM 42 202 0 27 Sep 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 140 36 0 29 Aug 2023
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 59 106 0 11 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 49 3,786 0 26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 153 1,089 0 22 Jun 2022
Generative Modelling With Inverse Heat Dissipation Severi Rissanen Markus Heinonen Arno Solin DiffM 26 112 0 21 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 118 1,377 0 02 Jun 2022
Autoregressive Image Generation using Residual Quantization Doyup Lee Chiheon Kim Saehoon Kim Minsu Cho Wook-Shin Han VGen 207 343 0 03 Mar 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 72 656 0 08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 217 503 0 01 Feb 2022
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 64 234 0 01 Nov 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 88 1,446 0 02 Aug 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 63 448 0 01 Jun 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 204 263 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 234 6,293 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 231 17,550 0 19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 131 3,803 0 12 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 61 844 0 15 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 808 93,936 0 11 Oct 2018
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 328 8,999 0 10 Jun 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 367 2,563 0 25 Jan 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 243 43,511 0 17 Sep 2014