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Autoregressive Distillation of Diffusion Transformers

Autoregressive Distillation of Diffusion Transformers

15 April 2025
Yeongmin Kim
Sotiris Anagnostidis
Yuming Du
Edgar Schönfeld
Jonas Kohler
Markos Georgopoulos
Albert Pumarola
Ali K. Thabet
A. Sanakoyeu
ArXivPDFHTML

Papers citing "Autoregressive Distillation of Diffusion Transformers"

28 / 28 papers shown
Title
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu
Yuyang Wang
Yizhe Zhang
Qihang Zhang
Dinghuai Zhang
Navdeep Jaitly
Josh Susskind
Shuangfei Zhai
DiffM
71
14
0
10 Oct 2024
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
61
22
0
30 May 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin
Michael Gharbi
Taesung Park
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
DiffM
78
108
0
23 May 2024
Generative Multimodal Models are In-Context Learners
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
109
258
0
20 Dec 2023
Emu: Enhancing Image Generation Models Using Photogenic Needles in a
  Haystack
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
63
202
0
27 Sep 2023
Elucidating the Exposure Bias in Diffusion Models
Elucidating the Exposure Bias in Diffusion Models
Mang Ning
Mingxiao Li
Jianlin Su
A. A. Salah
Itir Onal Ertugrul
DiffM
147
36
0
29 Aug 2023
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
66
106
0
11 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
92
960
0
07 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
82
3,786
0
26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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
158
1,089
0
22 Jun 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
31
112
0
21 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
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
132
1,377
0
02 Jun 2022
Autoregressive Image Generation using Residual Quantization
Autoregressive Image Generation using Residual Quantization
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
VGen
209
343
0
03 Mar 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
83
664
0
08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
227
503
0
01 Feb 2022
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
68
234
0
01 Nov 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
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
105
1,467
0
02 Aug 2021
Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
71
448
0
01 Jun 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
206
263
0
07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
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
262
6,293
0
26 Nov 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
284
17,550
0
19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
163
3,803
0
12 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
75
844
0
15 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
943
93,936
0
11 Oct 2018
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
368
8,999
0
10 Jun 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
395
2,563
0
25 Jan 2016
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
70
1,611
0
20 Nov 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
299
43,511
0
17 Sep 2014
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