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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
Learning Iterative Reasoning through Energy Diffusion
Learning Iterative Reasoning through Energy Diffusion
Yilun Du
Jiayuan Mao
Joshua B. Tenenbaum
LRMPINN
99
9
0
17 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
183
7
0
17 Jun 2024
Diffusion Models in Low-Level Vision: A Survey
Diffusion Models in Low-Level Vision: A Survey
Chunming He
Yuqi Shen
Chengyu Fang
Fengyang Xiao
Longxiang Tang
Yulun Zhang
W. Zuo
Zhenhua Guo
Xiu Li
VLMDiffMMedIm
227
42
0
17 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh
Reza Shirkavand
Shangqian Gao
Heng Huang
DiffMVLM
163
5
0
17 Jun 2024
Exploiting Diffusion Prior for Out-of-Distribution Detection
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu
Jiabei Liu
Keqin Li
Shuying Dai
Bo Hong
Peng Zhao
Changsong Wei
114
9
0
16 Jun 2024
An Analysis on Quantizing Diffusion Transformers
An Analysis on Quantizing Diffusion Transformers
Yuewei Yang
Jialiang Wang
Xiaoliang Dai
Peizhao Zhang
Hongbo Zhang
MQ
113
1
0
16 Jun 2024
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video
  Diffusion Models
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Kaifeng Gao
Jiaxin Shi
Hanwang Zhang
Chunping Wang
Jun Xiao
DiffMVGen
133
15
0
16 Jun 2024
Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions
  with HSI-Diffusion for the FINCH Spacecraft
Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft
Ian Vyse
Rishit Dagli
Dav Vrat Chadha
John P. Ma
Hector Chen
...
Iliya Shofman
Coby Silayan
Reid Sox-Harris
Shuhan Zheng
Khang Nguyen
75
0
0
15 Jun 2024
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean
  Space
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata
Nicholas Gao
Johanna Sommer
Tom Wollschlager
Stephan Günnemann
DiffM
117
2
0
15 Jun 2024
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
Ang Li
Yichuan Mo
Mingjie Li
Yisen Wang
AAML
79
2
0
14 Jun 2024
ControlVAR: Exploring Controllable Visual Autoregressive Modeling
ControlVAR: Exploring Controllable Visual Autoregressive Modeling
Xiang Li
Kai Qiu
Hao Chen
Jason Kuen
Zhe Lin
Rita Singh
Bhiksha Raj
DiffM
97
27
0
14 Jun 2024
Rethinking Score Distillation as a Bridge Between Image Distributions
Rethinking Score Distillation as a Bridge Between Image Distributions
David McAllister
Songwei Ge
Jia-Bin Huang
David W. Jacobs
Alexei A. Efros
Aleksander Holyñski
Angjoo Kanazawa
DiffM
102
15
0
13 Jun 2024
Alleviating Distortion in Image Generation via Multi-Resolution
  Diffusion Models
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Qihao Liu
Zhanpeng Zeng
Ju He
Qihang Yu
Xiaohui Shen
Liang-Chieh Chen
113
22
0
13 Jun 2024
Interpreting the Weight Space of Customized Diffusion Models
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid
Yossi Gandelsman
Kuan-Chieh Wang
Rameen Abdal
Gordon Wetzstein
Alexei A. Efros
Kfir Aberman
98
12
0
13 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode
  Interpolation
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K. Aithal
Pratyush Maini
Zachary Chase Lipton
J. Zico Kolter
DiffM
80
25
0
13 Jun 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
57
1
0
13 Jun 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image
  Diffusion Models
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
Ziyi Wu
Yulia Rubanova
Rishabh Kabra
Drew A. Hudson
Igor Gilitschenski
Yusuf Aytar
Sjoerd van Steenkiste
Kelsey R. Allen
Thomas Kipf
VGenDiffM
107
9
0
13 Jun 2024
Language-driven Grasp Detection
Language-driven Grasp Detection
An Dinh Vuong
Minh Nhat Vu
Baoru Huang
Nghia Nguyen
Hieu Le
T. Vo
Anh Nguyen
VLM
118
19
0
13 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty
  quantification
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h
François Desbouvries
Eric Barat
Eiji Kawasaki
UQCV
78
0
0
13 Jun 2024
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for
  Offline Reinforcement Learning
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
Xuemin Hu
Shen Li
Yingfen Xu
Bo Tang
Long Chen
59
0
0
13 Jun 2024
Preserving Identity with Variational Score for General-purpose 3D
  Editing
Preserving Identity with Variational Score for General-purpose 3D Editing
Duong H. Le
Tuan Pham
Aniruddha Kembhavi
Stephan Mandt
Wei-Chiu Ma
Jiasen Lu
84
0
0
13 Jun 2024
COVE: Unleashing the Diffusion Feature Correspondence for Consistent
  Video Editing
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
Jiangshan Wang
Yue Ma
Jiayi Guo
Yicheng Xiao
Gao Huang
Xiu Li
DiffM
115
24
0
13 Jun 2024
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing
  Reliability,Reproducibility, and Practicality
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability,Reproducibility, and Practicality
Tianle Zhang
Langtian Ma
Yuchen Yan
Yuchen Zhang
Kai Wang
...
Wenqi Shao
Yang You
Yu Qiao
Ping Luo
Kaipeng Zhang
VGen
147
2
0
13 Jun 2024
Conceptual Learning via Embedding Approximations for Reinforcing
  Interpretability and Transparency
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter
Tsachi Blau
Chaim Baskin
130
0
0
13 Jun 2024
DenoiseReID: Denoising Model for Representation Learning of Person
  Re-Identification
DenoiseReID: Denoising Model for Representation Learning of Person Re-Identification
Zhengrui Xu
Guan’an Wang
Xiaowen Huang
Jitao Sang
88
0
0
13 Jun 2024
Operator-Informed Score Matching for Markov Diffusion Models
Operator-Informed Score Matching for Markov Diffusion Models
Zheyang Shen
Huihui Wang
Marina Riabiz
Chris J. Oates
DiffM
150
0
0
13 Jun 2024
Pandora: Towards General World Model with Natural Language Actions and
  Video States
Pandora: Towards General World Model with Natural Language Actions and Video States
Jiannan Xiang
Guangyi Liu
Yi Gu
Qiyue Gao
Yuting Ning
...
Shibo Hao
Yemin Shi
Zhengzhong Liu
Eric P. Xing
Zhiting Hu
VGen
151
43
0
12 Jun 2024
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion
  Models
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models
J. Nistal
Marco Pasini
Cyran Aouameur
M. Grachten
Stefan Lattner
DiffM
105
19
0
12 Jun 2024
Outdoor Scene Extrapolation with Hierarchical Generative Cellular
  Automata
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
Dongsu Zhang
Francis Williams
Zan Gojcic
Karsten Kreis
Sanja Fidler
Young Min Kim
Amlan Kar
3DV3DPC
69
0
0
12 Jun 2024
Dataset Enhancement with Instance-Level Augmentations
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn
Christian Rupprecht
97
11
0
12 Jun 2024
Ablation Based Counterfactuals
Ablation Based Counterfactuals
Zheng Dai
David K Gifford
62
0
0
12 Jun 2024
Object-level Scene Deocclusion
Object-level Scene Deocclusion
Zhengzhe Liu
Qing Liu
Chirui Chang
Jianming Zhang
D. Pakhomov
Haitian Zheng
Zhe Lin
Daniel Cohen-Or
Chi-Wing Fu
67
3
0
11 Jun 2024
Simple and Effective Masked Diffusion Language Models
Simple and Effective Masked Diffusion Language Models
Subham Sekhar Sahoo
Marianne Arriola
Yair Schiff
Aaron Gokaslan
Edgar Marroquin
Justin T Chiu
Alexander M. Rush
Volodymyr Kuleshov
DiffM
118
123
0
11 Jun 2024
Instant 3D Human Avatar Generation using Image Diffusion Models
Instant 3D Human Avatar Generation using Image Diffusion Models
Nikos Kolotouros
Thiemo Alldieck
Enric Corona
Eduard Gabriel Bazavan
C. Sminchisescu
110
9
0
11 Jun 2024
Understanding Visual Concepts Across Models
Understanding Visual Concepts Across Models
Brandon Trabucco
Max Gurinas
Kyle Doherty
Ruslan Salakhutdinov
VLM
75
0
0
11 Jun 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive
  Diffusion Models for Unsupervised Anomaly Detection
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Hang Yao
Ming-Yu Liu
Haolin Wang
Zhicun Yin
Zifei Yan
Xiaopeng Hong
W. Zuo
118
20
0
11 Jun 2024
Image Neural Field Diffusion Models
Image Neural Field Diffusion Models
Yinbo Chen
Oliver Wang
Richard Zhang
Eli Shechtman
Xiaolong Wang
Michael Gharbi
DiffM
133
4
0
11 Jun 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with
  Foundation Models
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models
Athanasios Tragakis
Marco Aversa
Chaitanya Kaul
Roderick Murray-Smith
Daniele Faccio
110
2
0
11 Jun 2024
Haptic Repurposing with GenAI
Haptic Repurposing with GenAI
Haoyu Wang
74
0
0
11 Jun 2024
RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
Mirgahney Mohamed
Harry Jake Cunningham
M. Deisenroth
Lourdes Agapito
DiffM
69
0
0
11 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang
Jiaxin Zhuang
Cheng Jin
Gen Li
Yuantao Gu
DiffM
145
3
0
11 Jun 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Zigeng Chen
Xinyin Ma
Gongfan Fang
Zhenxiong Tan
Xinchao Wang
114
10
0
11 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model
Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin
Fragkiskos D. Malliaros
Christopher Morris
78
6
0
10 Jun 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference
  Optimization
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization
Yi Gu
Zhendong Wang
Yueqin Yin
Yujia Xie
Mingyuan Zhou
100
17
0
10 Jun 2024
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields
  with Diffusion Models
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models
Meng-Li Shih
Wei-Chiu Ma
Aleksander Holyñski
Forrester Cole
Brian L. Curless
Janne Kontkanen
60
3
0
10 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
144
1
0
10 Jun 2024
OmniControlNet: Dual-stage Integration for Conditional Image Generation
OmniControlNet: Dual-stage Integration for Conditional Image Generation
Yilin Wang
Haiyang Xu
Xiang Zhang
Zeyuan Chen
Zhizhou Sha
Zirui Wang
Zhuowen Tu
VLM
88
15
0
09 Jun 2024
Improving Antibody Design with Force-Guided Sampling in Diffusion Models
Improving Antibody Design with Force-Guided Sampling in Diffusion Models
Paulina Kulyt.e
Francisco Vargas
Simon Mathis
Yu Guang Wang
Jose Miguel Hernandez-Lobato
Pietro Liò
DiffM
109
7
0
09 Jun 2024
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
Shangyu Chen
Zizheng Pan
Jianfei Cai
Dinh Q. Phung
91
1
0
09 Jun 2024
Can Prompt Modifiers Control Bias? A Comparative Analysis of
  Text-to-Image Generative Models
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models
P. W. Shin
Jihyun Janice Ahn
Wenpeng Yin
Jack Sampson
Vijaykrishnan Narayanan
61
3
0
09 Jun 2024
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