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DiSA: Diffusion Step Annealing in Autoregressive Image Generation

DiSA: Diffusion Step Annealing in Autoregressive Image Generation

26 May 2025
Qinyu Zhao
Jaskirat Singh
Ming Xu
Akshay Asthana
Stephen Gould
Liang Zheng
    DiffM
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Papers citing "DiSA: Diffusion Step Annealing in Autoregressive Image Generation"

24 / 24 papers shown
Title
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
Zihang Liu
Zhenyu Zhang
Hao Tang
63
1
0
11 May 2025
Fast Autoregressive Models for Continuous Latent Generation
Fast Autoregressive Models for Continuous Latent Generation
Tiankai Hang
Jianmin Bao
Fangyun Wei
Dong Chen
DiffM
99
1
0
24 Apr 2025
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Size Wu
Wentao Zhang
Lumin Xu
Sheng Jin
Zhonghua Wu
Qingyi Tao
Wentao Liu
Wei Li
Chen Change Loy
VGen
394
5
0
27 Mar 2025
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
Feihong Yan
Qingyan Wei
Jiayi Tang
Jiajun Li
Yidan Wang
Xuming Hu
Huiqi Li
Linfeng Zhang
75
1
0
16 Mar 2025
ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models
Qinyu Zhao
Stephen Gould
Liang Zheng
DiffM
GAN
VGen
VLM
91
1
0
04 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren
Qihang Yu
Ju He
Xiaohui Shen
Alan Yuille
Liang-Chieh Chen
VGen
159
9
0
27 Feb 2025
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
Ziyang Song
Zerong Wang
Bo Li
Haoyang Zhang
Ruijie Zhu
Li Liu
Peng-Tao Jiang
Tianzhu Zhang
DiffM
44
4
0
05 Jan 2025
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable
  Interpolant Transformers
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Nanye Ma
Mark Goldstein
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
Saining Xie
DiffM
109
200
0
16 Jan 2024
Common Diffusion Noise Schedules and Sample Steps are Flawed
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin
Bingchen Liu
Jiashi Li
Xiao Yang
DiffM
63
219
0
15 May 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
90
2,299
0
19 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
146
590
0
02 Nov 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
178
996
0
07 Sep 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
199
1,419
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
263
359
0
03 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
94
646
0
20 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
410
15,486
0
20 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
451
7,739
0
11 Nov 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
213
7,831
0
11 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
329
3,675
0
18 Feb 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
330
6,453
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
255
7,356
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
604
18,036
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
232
3,902
0
12 Jul 2019
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
478
9,048
0
10 Jun 2016
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