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Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
    SyDa
    DiffM
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Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 1,355 papers shown
Title
SceneCraft: Layout-Guided 3D Scene Generation
SceneCraft: Layout-Guided 3D Scene Generation
Xiuyu Yang
Yunze Man
Jun-Kun Chen
Yu-Xiong Wang
3DV
85
8
0
11 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
39
13
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
DiffM
VGen
46
22
0
10 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
EGVM
CoGe
44
5
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
Junfeng Fang
Congcong Wen
Hui Lin
Xiang Wang
53
1
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
55
0
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
76
66
0
09 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
DiffM
AAML
33
3
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
33
22
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
66
66
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
39
4
0
08 Oct 2024
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
26
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
44
0
0
07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
45
5
0
07 Oct 2024
Diffusion Models in 3D Vision: A Survey
Diffusion Models in 3D Vision: A Survey
Zhen Wang
Dongyuan Li
Renhe Jiang
Tianyu He
Jiang Bian
Renhe Jiang
MedIm
70
4
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
Raphael Sarfati
Christopher Earls
30
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
31
7
0
06 Oct 2024
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
38
0
0
06 Oct 2024
Classification-Denoising Networks
Classification-Denoising Networks
Louis Thiry
Florentin Guth
34
0
0
04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
47
3
0
04 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
9
0
03 Oct 2024
ControlAR: Controllable Image Generation with Autoregressive Models
ControlAR: Controllable Image Generation with Autoregressive Models
Zongming Li
Tianheng Cheng
Shoufa Chen
Peize Sun
Haocheng Shen
Longjin Ran
Xiaoxin Chen
Wenyu Liu
Xinggang Wang
DiffM
136
15
0
03 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang
Donglin Yang
Renjie Liao
DiffM
176
0
0
03 Oct 2024
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
Min-Si Ren
Yan-Ming Zhang
Yi Chen
31
0
0
03 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
58
3
0
03 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Lüdke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
45
6
0
03 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
Qianru Zhang
Peng Yang
Junliang Yu
Haixin Wang
Xingwei He
Siu-Ming Yiu
Hongzhi Yin
43
2
0
03 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Anthony Y. Zhou
Zijie Li
Michael Schneier
John R Buchanan Jr
Amir Barati Farimani
AI4CE
DiffM
67
5
0
02 Oct 2024
Edge-preserving noise for diffusion models
Edge-preserving noise for diffusion models
Jente Vandersanden
Sascha Holl
Xingchang Huang
Gurprit Singh
DiffM
37
0
0
02 Oct 2024
Discrete Copula Diffusion
Discrete Copula Diffusion
Guy Van den Broeck
Oliver Broadrick
Mathias Niepert
Mathias Niepert
DiffM
59
4
0
02 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
67
2
0
01 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
Zhenyi Zhang
Tiejun Li
Peijie Zhou
OT
149
6
0
01 Oct 2024
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner
Chenyou Fan
Chenjia Bai
Zhao Shan
Haoran He
Yang Zhang
Zhen Wang
33
3
0
30 Sep 2024
DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model
DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model
Ruiqing Mao
Haotian Wu
Yukuan Jia
Zhaojun Nan
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
Zhisheng Niu
36
0
0
29 Sep 2024
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning
Zixuan Wu
Z. Zaidi
Adithya Patil
Qingyu Xiao
Matthew C. Gombolay
75
1
0
29 Sep 2024
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
Richard Osuala
Smriti Joshi
Apostolia Tsirikoglou
Lidia Garrucho
Walter H. L. Pinaya
Daniel M. Lang
J. Schnabel
Oliver Díaz
Karim Lekadir
MedIm
38
0
0
27 Sep 2024
Harnessing and modulating chaos to sample from neural generative models
Harnessing and modulating chaos to sample from neural generative models
Rishidev Chaudhuri
Vivek Handebagh
21
0
0
26 Sep 2024
StackGen: Generating Stable Structures from Silhouettes via Diffusion
StackGen: Generating Stable Structures from Silhouettes via Diffusion
Luzhe Sun
Takuma Yoneda
Samuel Wheeler
Tianchong Jiang
Matthew R. Walter
DiffM
39
0
0
26 Sep 2024
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Xinrui Zhou
Yuhao Huang
Haoran Dou
Shijing Chen
Ao Chang
...
Jie Jessie Ren
Ruobing Huang
Jun Cheng
Wufeng Xue
Dong Ni
MedIm
162
0
0
25 Sep 2024
Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition
  with Speaker Tokens
Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition with Speaker Tokens
Yosuke Kashiwagi
Hayato Futami
E. Tsunoo
Siddhant Arora
Shinji Watanabe
57
1
0
24 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and
  Sub-Network Selection
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
Alireza Ganjdanesh
Yan Kang
Yuchen Liu
Richard Y. Zhang
Zhe Lin
Heng Huang
DiffM
37
2
0
23 Sep 2024
Neural Differential Appearance Equations
Neural Differential Appearance Equations
Chen Liu
Tobias Ritschel
33
0
0
23 Sep 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Weifeng Lin
Xinyu Wei
Renrui Zhang
Le Zhuo
Shitian Zhao
...
Junlin Xie
Junlin Xie
Yu Qiao
Peng Gao
Hongsheng Li
MLLM
DiffM
60
10
0
23 Sep 2024
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
Abdul-Lateef Haji-Ali
Marcelo Pereyra
Luke Shaw
K. Zygalakis
DiffM
47
0
0
23 Sep 2024
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion
Bishoy Gerges
Barbara Bazzana
Nicolò Botteghi
Youssef Aboudorra
Antonio Franchi
DiffM
65
1
0
20 Sep 2024
Fundus image enhancement through direct diffusion bridges
Fundus image enhancement through direct diffusion bridges
Sehui Kim
Hyungjin Chung
Se Hie Park
Eui-Sang Chung
Kayoung Yi
Jong Chul Ye
DiffM
MedIm
36
0
0
19 Sep 2024
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable
  Channel-Wise Membrane Thresholds
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds
Zhixing Hou
Maoxu Gao
Hang Yu
Mengyu Yang
Chio-in Ieong
45
1
0
17 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
83
3
0
17 Sep 2024
Optimizing Resource Consumption in Diffusion Models through
  Hallucination Early Detection
Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection
Federico Betti
Lorenzo Baraldi
Lorenzo Baraldi
Rita Cucchiara
N. Sebe
DiffM
36
0
0
16 Sep 2024
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion
Vitor Campagnolo Guizilini
P. Tokmakov
Achal Dave
Rares Andrei Ambrus
DiffM
28
2
0
15 Sep 2024
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