Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 1,159 papers shown

Title
Rolling Ahead Diffusion for Traffic Scene Simulation Yunpeng Liu Matthew Niedoba William Harvey Adam Scibior Berend Zwartsenberg Frank D. Wood 64 0 0 13 Feb 2025
DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Jocelyn Dzuong 85 0 0 12 Feb 2025
MatSwap: Light-aware material transfers in images Ivan Lopes Valentin Deschaintre Yannick Hold-Geoffroy Raoul de Charette DiffM 84 0 0 11 Feb 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 61 0 0 11 Feb 2025
Consistency Training with Physical Constraints Che-Chia Chang Chen-Yang Dai Te-Sheng Lin M. Lai Chieh-Hsin Lai DiffM 50 0 0 11 Feb 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Tai-Yu Pan Sooyoung Jeon Mengdi Fan Jinsu Yoo Zhenyang Feng Mark E. Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 106 0 0 10 Feb 2025
History-Guided Video Diffusion Kiwhan Song Boyuan Chen Max Simchowitz Yilun Du Russ Tedrake Vincent Sitzmann VGen 111 7 0 10 Feb 2025
DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty Etienne Goffinet Sen Yan Fabrizio Gabellieri Laurence Jennings Lydia Gkoura Filippo Castiglione Ryan Young Idir Malki Ankita Singh Thomas Launey MedIm 38 0 0 06 Feb 2025
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing Jinya Sakurai Issei Sato 74 0 0 06 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 50 4 0 05 Feb 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy Siba Smarak Panigrahi Sékou-Oumar Kaba Qiang Zhu Kin Long Kelvin Lee Mikhail Galkin Santiago Miret Siamak Ravanbakhsh 192 11 0 05 Feb 2025
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Jinhao Liang Jacob K Christopher Sven Koenig Ferdinando Fioretto 88 1 0 05 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 104 0 0 04 Feb 2025
Open Materials Generation with Stochastic Interpolants Philipp Hoellmer Thomas Egg Maya M. Martirossyan Eric Fuemmeler Amit Gupta ... George Karypis Mark K. Transtrum Richard G. Hennig E. Tadmor Stefano Martiniani AI4CE 90 0 0 04 Feb 2025
IPO: Iterative Preference Optimization for Text-to-Video Generation Xiaomeng Yang Zhiyu Tan Xuecheng Nie VGen 101 1 0 04 Feb 2025
VILP: Imitation Learning with Latent Video Planning Zhengtong Xu Qiang Qiu Yu She VGen 72 1 0 03 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 55 0 0 03 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 62 3 0 03 Feb 2025
Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng Yiming Yang 71 0 0 01 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai X. Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 1 0 31 Jan 2025
PSyDUCK: Training-Free Steganography for Latent Diffusion Georgia Channing Aqib Mahfuz Mark van der Wilk Philip H. S. Torr Fabio Pizzati Christian Schroeder de Witt DiffM 61 0 0 31 Jan 2025
TRADES: Generating Realistic Market Simulations with Diffusion Models Leonardo Berti Bardh Prenkaj Paola Velardi DiffM 87 1 0 31 Jan 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiñski Kamil Deja DiffM 63 6 0 29 Jan 2025
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Chenguo Lin Panwang Pan Bangbang Yang Zeming Li Yadong Mu 3DGS 76 7 0 28 Jan 2025
An analysis of the noise schedule for score-based generative models SU StanislasStrasman Antonio Ocello Claire Boyer Lpsm Sylvain Le Corff Lpsm Vincent Lemaire DiffM 97 4 0 28 Jan 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Sichen Zhu Yuchen Zhu Molei Tao Peng-Chao Qiu MedIm 31 0 0 28 Jan 2025
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling Subhankar Ghosh Arun Sharma Jayant Gupta Aneesh Subramanian Shashi Shekhar DiffM 68 5 0 28 Jan 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng Ruiming Liang Kexin Zheng Jinliang Zheng Liyuan Mao ... Weihao Gu Rui Ai Shengbo Eben Li Xianyuan Zhan Jingjing Liu 63 6 0 26 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 31 1 0 24 Jan 2025
VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking Runyi Hu J. Zhang Y. Li Jiwei Li Qing-Wu Guo Han Qiu Tianwei Zhang WIGM VGen 79 4 0 24 Jan 2025
CGI: Identifying Conditional Generative Models with Example Images Zhi-Hua Zhou Hao-Zhe Tan Peng-Xiao Song Lan-Zhe Guo DiffM 37 0 0 23 Jan 2025
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models Chaohao Xie Kai Han Kwan-Yee K. Wong VGen DiffM 178 0 0 21 Jan 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation Xiaodong Li Hengzhu Tang Jiawei Sheng Xinghua Zhang Li Gao Suqi Cheng Dawei Yin Tingwen Liu DiffM 71 1 0 20 Jan 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 31 0 0 20 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 38 0 0 20 Jan 2025
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation Alex Berian Daniel Brignac JhihYang Wu Natnael Daba Abhijit Mahalanobis DiffM 54 1 0 20 Jan 2025
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion Zihao Xu Yuzhi Tang Bowen Xu Qingquan Li DiffM 57 0 0 20 Jan 2025
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Ruojun Xu Weijie Xi Xiaodi Wang Yongbo Mao Zach Cheng DiffM 31 1 0 20 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 73 4 0 20 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 76 13 0 17 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models R. Singhal Zachary Horvitz Ryan Teehan Mengye Ren Zhou Yu Kathleen McKeown Rajesh Ranganath DiffM 61 15 0 17 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 74 62 0 17 Jan 2025
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution Cuixin Yang Rongkang Dong Jun Xiao Cong Zhang Kin-Man Lam Fei Zhou Guoping Qiu 87 1 0 17 Jan 2025
Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation Ahmad Süleyman Göksel Biricik 47 2 0 15 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 54 2 0 13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 60 3 0 10 Jan 2025
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations Ruben Ciranni Emilian Postolache Giorgio Mariani Michele Mancusi Giorgio Fabbro Emanuele Rodolà Luca Cosmo 67 7 0 10 Jan 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu Huang Chang Xu Yueying Wu Wu-Jun Li Jiang Bian DiffM 32 3 0 10 Jan 2025
Multi-subject Open-set Personalization in Video Generation Tsai-Shien Chen Aliaksandr Siarohin Willi Menapace Yuwei Fang Kwot Sin Lee Ivan Skorokhodov Kfir Aberman Jun-Yan Zhu Ming Yang Sergey Tulyakov DiffM VGen 69 7 0 10 Jan 2025
Generative AI for Cel-Animation: A Survey Yunlong Tang Junjia Guo Pinxin Liu Zhiyuan Wang Hang Hua ... Jing Bi Mingqian Feng X. Li Zeliang Zhang Chenliang Xu VGen 88 7 0 08 Jan 2025