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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
v1v2v3v4v5v6v7v8 (latest)

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
    SyDaDiffM
ArXiv (abs)PDFHTML

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 4,616 papers shown
Title
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
Tsiry Mayet
Pourya Shamsolmoali
Simon Bernard
Eric Granger
Romain Hérault
Clément Chatelain
DiffM
82
1
0
11 Oct 2024
Physics and Deep Learning in Computational Wave Imaging
Physics and Deep Learning in Computational Wave Imaging
Youzuo Lin
Shihang Feng
J. Theiler
Yinpeng Chen
Umberto Villa
Jing Rao
John Greenhall
Cristian Pantea
M. Anastasio
B. Wohlberg
65
1
0
10 Oct 2024
Avoiding mode collapse in diffusion models fine-tuned with reinforcement
  learning
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning
Roberto Barceló
Cristóbal Alcázar
Felipe Tobar
93
4
0
10 Oct 2024
Scaling Laws For Diffusion Transformers
Scaling Laws For Diffusion Transformers
Zhengyang Liang
Hao He
Ceyuan Yang
Bo Dai
89
14
0
10 Oct 2024
RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS
  Generative Model from a Single Image
RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image
Xiaoxue Chen
Jv Zheng
Hao Huang
Haoran Xu
Weihao Gu
...
He xiang
Huan-ang Gao
Hao Zhao
Guyue Zhou
Yaqin Zhang
3DGS
65
2
0
10 Oct 2024
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
137
17
0
10 Oct 2024
Simple ReFlow: Improved Techniques for Fast Flow Models
Simple ReFlow: Improved Techniques for Fast Flow Models
Beomsu Kim
Yu-Guan Hsieh
Michal Klein
Marco Cuturi
Jong Chul Ye
Bahjat Kawar
James Thornton
VLM
86
12
0
10 Oct 2024
$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete
  Diffusion Models
Jump Your Steps\textit{Jump Your Steps}Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
Yong-Hyun Park
Chieh-Hsin Lai
Satoshi Hayakawa
Yuhta Takida
Yuki Mitsufuji
93
7
0
10 Oct 2024
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image
  Animation
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
Jiahao Cui
Hui Li
Yao Yao
Hao Zhu
Hanlin Shang
Kaihui Cheng
Hang Zhou
Siyu Zhu
Jingdong Wang
DiffMVGen
110
29
0
10 Oct 2024
FLIER: Few-shot Language Image Models Embedded with Latent
  Representations
FLIER: Few-shot Language Image Models Embedded with Latent Representations
Zhinuo Zhou
Peng Zhou
Xiaoyong Pan
VLM
40
0
0
10 Oct 2024
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow
  Transformers with Projected Flow
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow
Ruoyi Du
Dongyang Liu
Le Zhuo
Qin Qi
Hongsheng Li
Zhanyu Ma
Peng Gao
93
2
0
10 Oct 2024
Progressive Autoregressive Video Diffusion Models
Progressive Autoregressive Video Diffusion Models
Desai Xie
Zhan Xu
Yicong Hong
Hao Tan
Difan Liu
Feng Liu
Arie E. Kaufman
Yang Zhou
DiffMVGen
127
15
0
10 Oct 2024
Diffusion Density Estimators
Diffusion Density Estimators
Akhil Premkumar
61
1
0
09 Oct 2024
Jointly Generating Multi-view Consistent PBR Textures using
  Collaborative Control
Jointly Generating Multi-view Consistent PBR Textures using Collaborative Control
Shimon Vainer
Konstantin Kutsy
Dante De Nigris
Ciara Rowles
Slava Elizarov
Simon Donné
DiffM
112
3
0
09 Oct 2024
Rethinking the Evaluation of Visible and Infrared Image Fusion
Rethinking the Evaluation of Visible and Infrared Image Fusion
Dayan Guan
Yixuan Wu
Tianzhu Liu
Alex C. Kot
Yanfeng Gu
95
0
0
09 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem
  solving
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
104
2
0
09 Oct 2024
InstantIR: Blind Image Restoration with Instant Generative Reference
InstantIR: Blind Image Restoration with Instant Generative Reference
Jen-Yuan Huang
Haofan Wang
Qixun Wang
Xu Bai
Hao Ai
Peng-Fei Xing
Jen-tse Huang
45
1
0
09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
136
3
0
09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma
Xuefei Ning
Dongrui Liu
Li Niu
Linfeng Zhang
MoMe
122
0
0
09 Oct 2024
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang
Ling Yang
Ge Li
Yaqi Cai
Jiake Xie
Yong Tang
Yujiu Yang
Mengdi Wang
Bin Cui
EGVMCoGe
115
11
0
09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
200
102
0
09 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen
Chenhao Zhang
Sijie Fu
Chenghui Zhou
Newell Washburn
Barnabás Póczos
116
2
0
09 Oct 2024
Story-Adapter: A Training-free Iterative Framework for Long Story
  Visualization
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Jiawei Mao
Xiaoke Huang
Yunfei Xie
Yuanqi Chang
Mude Hui
Bingjie Xu
Yuyin Zhou
VGenDiffM
121
4
0
08 Oct 2024
SD-$π$XL: Generating Low-Resolution Quantized Imagery via Score
  Distillation
SD-πππXL: Generating Low-Resolution Quantized Imagery via Score Distillation
Alexandre Binninger
O. Sorkine-Hornung
93
1
0
08 Oct 2024
Toward Scalable Image Feature Compression: A Content-Adaptive and
  Diffusion-Based Approach
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
Sha Guo
Zhuo Chen
Yang Zhao
Ning Zhang
Xiaochen Li
Lingyu Duan
DiffM
140
5
0
08 Oct 2024
HyperDet: Generalizable Detection of Synthesized Images by Generating
  and Merging A Mixture of Hyper LoRAs
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs
Huangsen Cao
Yongwei Wang
Yinfeng Liu
Sixian Zheng
Kangtao Lv
Zhimeng Zhang
Bo Zhang
Xin Ding
Fei Wu
122
1
0
08 Oct 2024
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt
  Generation
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation
Daniela Gallo
Angelica Liguori
Ettore Ritacco
Luca Caviglione
Fabrizio Durante
Giuseppe Manco
95
0
0
08 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image
  Editing
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
June Suk Choi
Kyungmin Lee
Jongheon Jeong
Saining Xie
Jinwoo Shin
Kimin Lee
DiffMAAML
65
4
0
08 Oct 2024
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through
  Data, Reward, and Conditional Guidance Design
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li
Qian Long
Jian Zheng
Xiaofeng Gao
Robinson Piramuthu
Wenhu Chen
William Yang Wang
VGen
128
26
0
08 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling
Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin
Zhicheng Sun
Ningyuan Li
Kun Xu
K. Xu
...
Nan Zhuang
Quzhe Huang
Yang Song
Yadong Mu
Zhouchen Lin
VGen
168
87
0
08 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
100
9
0
08 Oct 2024
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side
  Information
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Timofey Efimov
Harry Dong
M. Shah
Jeff P. Simmons
S. Donegan
Yuejie Chi
DiffMMedIm
47
0
0
07 Oct 2024
CAR: Controllable Autoregressive Modeling for Visual Generation
CAR: Controllable Autoregressive Modeling for Visual Generation
Ziyu Yao
Jialin Li
Yifeng Zhou
Yong Liu
Xi Jiang
Chengjie Wang
Feng Zheng
Yuexian Zou
Lei Li
DiffM
149
15
0
07 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J. B. Liu
Nicolas Boullé
Raphaël Sarfati
Christopher Earls
91
1
0
07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Cheng-i Wang
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
128
7
0
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Understanding and Imitating Human-Robot Motion with Restricted Visual Fields
Understanding and Imitating Human-Robot Motion with Restricted Visual Fields
Maulik Bhatt
HongHao Zhen
Monroe Kennedy III
Negar Mehr
84
0
0
07 Oct 2024
Diffusion Models in 3D Vision: A Survey
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Xue Liu
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
254
4
0
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Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Zhiyu Zhu
Jinhui Hou
Hui Liu
H. Zeng
Junhui Hou
83
0
0
07 Oct 2024
Low-Rank Continual Personalization of Diffusion Models
Low-Rank Continual Personalization of Diffusion Models
Łukasz Staniszewski
Katarzyna Zaleska
Kamil Deja
DiffM
103
0
0
07 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of
  Consistency and Progress
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia
Rohan Sinha
Jingyun Yang
Zi-ang Cao
Rika Antonova
Marco Pavone
Jeannette Bohg
94
9
0
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Towards Unsupervised Blind Face Restoration using Diffusion Prior
Towards Unsupervised Blind Face Restoration using Diffusion Prior
Tianshu Kuai
Sina Honari
Igor Gilitschenski
Alex Levinshtein
DiffM
80
0
0
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Compositional Diffusion Models for Powered Descent Trajectory Generation
  with Flexible Constraints
Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
Julia Briden
Yilun Du
Enrico M. Zucchelli
Richard Linares
72
0
0
05 Oct 2024
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using
  Image Diffusion Models
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models
Muhammad Haaris Khan
Hadrien Reynaud
Bernhard Kainz
VGenDiffM
67
0
0
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AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
Artur Kasymov
Marcin Sendera
Michał Stypułkowski
Maciej Ziȩba
Przemysław Spurek
142
1
0
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Online Posterior Sampling with a Diffusion Prior
Online Posterior Sampling with a Diffusion Prior
Branislav Kveton
Boris Oreshkin
Youngsuk Park
Aniket Deshmukh
Rui Song
DiffM
65
0
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Estimating Body and Hand Motion in an Ego-sensed World
Estimating Body and Hand Motion in an Ego-sensed World
Brent Yi
Vickie Ye
Maya Zheng
Lea Müller
Georgios Pavlakos
Yi Ma
Jitendra Malik
Angjoo Kanazawa
DiffM
90
8
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Real-World Benchmarks Make Membership Inference Attacks Fail on
  Diffusion Models
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
Chumeng Liang
Jiaxuan You
88
0
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Classification-Denoising Networks
Classification-Denoising Networks
Louis Thiry
Florentin Guth
87
1
0
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VEDIT: Latent Prediction Architecture For Procedural Video
  Representation Learning
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
Han Lin
Tushar Nagarajan
Nicolas Ballas
Mido Assran
Mojtaba Komeili
Joey Tianyi Zhou
Koustuv Sinha
AI4TS
114
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CLoSD: Closing the Loop between Simulation and Diffusion for multi-task
  character control
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
Guy Tevet
Sigal Raab
S. Cohan
Daniele Reda
Zhengyi Luo
Xue Bin Peng
Amit H. Bermano
M. van de Panne
94
19
0
04 Oct 2024
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