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Scalable Diffusion Models with Transformers

Scalable Diffusion Models with Transformers

19 December 2022
William S. Peebles
Saining Xie
    GNN
ArXivPDFHTML

Papers citing "Scalable Diffusion Models with Transformers"

50 / 463 papers shown
Title
Margin-aware Preference Optimization for Aligning Diffusion Models
  without Reference
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong
Sayak Paul
Noah Lee
Kashif Rasul
James Thorne
Jongheon Jeong
43
13
0
10 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
31
0
0
07 Jun 2024
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs
Fang Chen
Gourav Datta
Mujahid Al Rafi
Hyeran Jeon
Meng Tang
93
1
0
06 Jun 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou
Shen Nie
Kaiwen Xue
Fengqi Zhu
Jiacheng Sun
Zhenguo Li
Chongxuan Li
DiffM
41
29
0
06 Jun 2024
Inv-Adapter: ID Customization Generation via Image Inversion and
  Lightweight Adapter
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
Peng-Fei Xing
Ning Wang
Jianbo Ouyang
Zechao Li
DiffM
41
1
0
05 Jun 2024
Learning Image Priors through Patch-based Diffusion Models for Solving
  Inverse Problems
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
Jason Hu
Bowen Song
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
MedIm
DiffM
46
8
0
04 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
Tianchen Zhao
Tongcheng Fang
Haofeng Huang
Enshu Liu
Widyadewi Soedarmadji
...
Shengen Yan
Huazhong Yang
Xuefei Ning
Xuefei Ning
Yu Wang
MQ
VGen
109
25
0
04 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park
Jungwon Choi
Sungbin Lim
Juho Lee
50
3
0
31 May 2024
OccSora: 4D Occupancy Generation Models as World Simulators for
  Autonomous Driving
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving
Lening Wang
Wenzhao Zheng
Yilong Ren
Han Jiang
Zhiyong Cui
Haiyang Yu
Jiwen Lu
VGen
40
28
0
30 May 2024
RIGID: A Training-free and Model-Agnostic Framework for Robust
  AI-Generated Image Detection
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
Zhiyuan He
Pin-Yu Chen
Tsung-Yi Ho
36
12
0
30 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Nicolas Dufour
Victor Besnier
Vicky Kalogeiton
David Picard
DiffM
51
2
0
30 May 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
65
75
0
27 May 2024
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
Xingqun Qi
Hengyuan Zhang
Yatian Wang
J. Pan
Chen Liu
...
Qixun Zhang
Shanghang Zhang
Wenhan Luo
Qifeng Liu
Qi-fei Liu
DiffM
SLR
110
5
0
27 May 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang
Kuan Tian
Yonghang Guan
Jun Zhang
Zhiwei Jiang
Fei Shen
Xiao Han
42
5
0
27 May 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang
Yukun Zhou
Mingjia Shi
Zhihang Yuan
Yuzhang Shang
Yuzhang Shang
Hanwang Zhang
Hanwang Zhang
Yang You
68
10
0
27 May 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
64
2
0
27 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
61
10
0
26 May 2024
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Zizhao Hu
Mohammad Rostami
34
0
0
25 May 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
49
9
0
23 May 2024
TerDiT: Ternary Diffusion Models with Transformers
TerDiT: Ternary Diffusion Models with Transformers
Xudong Lu
Aojun Zhou
Ziyi Lin
Qi Liu
Yuhui Xu
Renrui Zhang
Yafei Wen
Shuai Ren
Peng Gao
Junchi Yan
MQ
50
2
0
23 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
55
3
0
23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
80
42
0
23 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
62
7
0
23 May 2024
Customize Your Own Paired Data via Few-shot Way
Customize Your Own Paired Data via Few-shot Way
Jinshu Chen
Bingchuan Li
Miao Hua
Panpan Xu
Qian He
DiffM
39
0
0
21 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
19
3
0
06 May 2024
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video
  Generation
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Yupeng Zhou
Daquan Zhou
Ming-Ming Cheng
Jiashi Feng
Qibin Hou
DiffM
VGen
40
88
0
02 May 2024
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion
  Models
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Qinghe Wang
Baolu Li
Xiaomin Li
Bing Cao
Liqian Ma
Huchuan Lu
Xu Jia
DiffM
42
6
0
24 Apr 2024
X-Ray: A Sequential 3D Representation For Generation
X-Ray: A Sequential 3D Representation For Generation
Tao Hu
Wenhang Ge
Yuyang Zhao
Gim Hee Lee
MedIm
24
4
0
22 Apr 2024
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than
  We Think
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think
Haotian Xue
Yongxin Chen
DiffM
AAML
43
3
0
20 Apr 2024
SparseDM: Toward Sparse Efficient Diffusion Models
SparseDM: Toward Sparse Efficient Diffusion Models
Kafeng Wang
Jianfei Chen
He Li
Zhenpeng Mi
Jun-Jie Zhu
DiffM
65
8
0
16 Apr 2024
Move Anything with Layered Scene Diffusion
Move Anything with Layered Scene Diffusion
Jiawei Ren
Mengmeng Xu
Jui-Chieh Wu
Ziwei Liu
Tao Xiang
Antoine Toisoul
29
9
0
10 Apr 2024
YaART: Yet Another ART Rendering Technology
YaART: Yet Another ART Rendering Technology
Sergey Kastryulin
Artem Konev
Alexander Shishenya
Eugene Lyapustin
Artem Khurshudov
...
Dmitrii Kornilov
Mikhail Romanov
Artem Babenko
Sergei Ovcharenko
Valentin Khrulkov
EGVM
35
1
0
08 Apr 2024
Latent-based Diffusion Model for Long-tailed Recognition
Latent-based Diffusion Model for Long-tailed Recognition
Pengxiao Han
Changkun Ye
Jieming Zhou
Jing Zhang
Jie Hong
Xuesong Li
48
4
0
06 Apr 2024
Faster Diffusion via Temporal Attention Decomposition
Faster Diffusion via Temporal Attention Decomposition
Haozhe Liu
Wentian Zhang
Jinheng Xie
Francesco Faccio
Mengmeng Xu
Tao Xiang
Mike Zheng Shou
Juan-Manuel Perez-Rua
Jürgen Schmidhuber
DiffM
67
19
0
03 Apr 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
Chen Yang
Aaron Xuxiang Tian
Dong Chen
Tianyu Shi
Arsalan Heydarian
Tianyu Shi
Arsalan Heydarian
Pei Liu
56
8
0
02 Apr 2024
IPT-V2: Efficient Image Processing Transformer using Hierarchical
  Attentions
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions
Zhijun Tu
Kunpeng Du
Hanting Chen
Hai-lin Wang
Wei Li
Jie Hu
Yunhe Wang
ViT
39
4
0
31 Mar 2024
Diffusion Models are Geometry Critics: Single Image 3D Editing Using
  Pre-Trained Diffusion Priors
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
Ruicheng Wang
Jianfeng Xiang
Jiaolong Yang
Xin Tong
DiffM
34
4
0
18 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
54
6
0
15 Mar 2024
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
63
6
0
14 Mar 2024
DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation
DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation
Minbin Huang
Yanxin Long
Xinchi Deng
Ruihang Chu
Jiangfeng Xiong
Xiaodan Liang
Hong Cheng
Qinglin Lu
Wei Liu
MLLM
EGVM
65
8
0
13 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
91
1,068
0
05 Mar 2024
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Ming-hui Li
Shuai Li
Xindong Zhang
Lei Zhang
VOS
44
16
0
28 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Cameras as Rays: Pose Estimation via Ray Diffusion
Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Y. Zhang
Amy Lin
Moneish Kumar
Tzu-Hsuan Yang
Deva Ramanan
Shubham Tulsiani
DiffM
29
54
0
22 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
PINN
AI4CE
45
8
0
19 Feb 2024
S$Ω$I: Score-based O-INFORMATION Estimation
SΩΩΩI: Score-based O-INFORMATION Estimation
Mustapha Bounoua
Giulio Franzese
Pietro Michiardi
21
1
0
08 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Pierre Marion
Anna Korba
Peter Bartlett
Mathieu Blondel
Valentin De Bortoli
Arnaud Doucet
Felipe Llinares-López
Courtney Paquette
Quentin Berthet
76
12
0
08 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
Yuan Gao
Haokun Chen
Xiang Wang
Zhicai Wang
Xue Wang
Jinyang Gao
Bolin Ding
40
6
0
05 Feb 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
48
1
0
02 Feb 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen
Zhuang Liu
Saining Xie
Kaiming He
DiffM
35
54
0
25 Jan 2024
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