Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015

Jascha Narain Sohl-Dickstein

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 1,469 papers shown

Title
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations Tianhao Qi Shancheng Fang Yanze Wu Hongtao Xie Jiawei Liu Lang Chen Qian He Yongdong Zhang DiffM 25 32 0 11 Mar 2024
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation Paweł Antoni Pierzchlewicz Caio da Silva R. J. Cotton Fabian H. Sinz 35 0 0 10 Mar 2024
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation Juan Pisula Katarzyna Bozek 43 2 0 08 Mar 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 40 3 0 08 Mar 2024
Improving Diffusion Models for Virtual Try-on Yisol Choi Sangkyung Kwak Kyungmin Lee Hyungwon Choi Jinwoo Shin DiffM 45 22 0 08 Mar 2024
Face2Diffusion for Fast and Editable Face Personalization Kaede Shiohara Toshihiko Yamasaki DiffM 22 11 0 08 Mar 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images Cristiana Tiago S. Snare Jurica Šprem K. Mcleod DiffM MedIm 42 9 0 07 Mar 2024
DNAct: Diffusion Guided Multi-Task 3D Policy Learning Ge Yan Yueh-hua Wu Xiaolong Wang VGen 42 20 0 07 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 44 1 0 06 Mar 2024
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation B. Fesl Michael Baur Florian Strasser M. Joham Wolfgang Utschick DiffM 37 14 0 06 Mar 2024
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 147 1,089 0 05 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 48 2 0 05 Mar 2024
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation Weijie Li Litong Gong Yiran Zhu Fanda Fan Biao Wang Tiezheng Ge Bo Zheng VGen DiffM 49 2 0 05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 53 0 0 05 Mar 2024
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models Lukas Höllein Aljavz Bovzivc Norman Muller David Novotny Hung-Yu Tseng Christian Richardt Michael Zollhöfer Matthias Nießner DiffM 51 39 0 04 Mar 2024
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances Supreeth Narasimhaswamy Uttaran Bhattacharya Xiang Chen Ishita Dasgupta Saayan Mitra Minh Hoai DiffM 31 24 0 04 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 49 6 0 03 Mar 2024
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation Hanxi Li Zhengxun Zhang Hao Chen Lin Wu Bo Li Deyin Liu Mingwen Wang 55 2 0 29 Feb 2024
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 48 27 0 29 Feb 2024
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
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 45 9 0 27 Feb 2024
Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue Zhaoqiang Liu Fei Chen Shifeng Zhang Tianyang Hu Enze Xie Zhenguo Li DiffM 46 25 0 27 Feb 2024
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation Zongying Lin Hao Li Liuzhenghao Lv Lin Bin Junwu Zhang Calvin Yu-Chian Chwn Li Yuan Tian Yonghong 39 3 0 27 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 71 88 0 27 Feb 2024
Contextualized Diffusion Models for Text-Guided Image and Video Generation Ling Yang Zhilong Zhang Zhaochen Yu Jingwei Liu Minkai Xu Stefano Ermon Bin Cui 49 4 0 26 Feb 2024
Cinematographic Camera Diffusion Model Hongda Jiang Xi Wang Marc Christie Libin Liu Baoquan Chen DiffM VGen 28 9 0 25 Feb 2024
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 39 4 0 24 Feb 2024
Seamless Human Motion Composition with Blended Positional Encodings Germán Barquero Sergio Escalera Cristina Palmero DiffM 56 29 0 23 Feb 2024
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis Willi Menapace Aliaksandr Siarohin Ivan Skorokhodov Ekaterina Deyneka Tsai-Shien Chen ... Yuwei Fang A. Stoliar Elisa Ricci Jian Ren Sergey Tulyakov VGen 57 57 0 22 Feb 2024
Debiasing Text-to-Image Diffusion Models Ruifei He Chuhui Xue Haoru Tan Wenqing Zhang Yingchen Yu Song Bai Xiaojuan Qi 33 4 0 22 Feb 2024
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model Xudong Ling Chaorong Li Fengqing Qin Peng Yang Yuanyuan Huang DiffM AI4Cl 45 5 0 21 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 0 19 Feb 2024
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image Yan Hong Jianfu Zhang DiffM 30 3 0 19 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 37 24 0 15 Feb 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models Cheng Kang Xinye Chen Yong Hu Daniel Novak 31 0 0 15 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 48 1 0 15 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 46 6 0 11 Feb 2024
Towards Fast Stochastic Sampling in Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 30 0 0 11 Feb 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 36 0 0 09 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 27 4 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 45 42 0 09 Feb 2024
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model Junghun Cha Ali Haider Seoyun Yang Hoeyeong Jin Subin Yang A. Uddin Jaehyoung Kim Soo Ye Kim Sung-Ho Bae DiffM 36 2 0 08 Feb 2024
SPAD : Spatially Aware Multiview Diffusers Yash Kant Ziyi Wu Michael Vasilkovsky Guocheng Qian Jian Ren R. A. Guler Guohao Li Sergey Tulyakov Igor Gilitschenski Aliaksandr Siarohin DiffM 29 36 0 07 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 71 18 0 07 Feb 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 36 8 0 06 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding Leman Akoglu DiffM 31 9 0 06 Feb 2024
InstanceDiffusion: Instance-level Control for Image Generation Xudong Wang Trevor Darrell Sai Saketh Rambhatla Rohit Girdhar Ishan Misra VLM DiffM 34 85 0 05 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 41 1 0 04 Feb 2024
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization Fangzhao Zhang Mert Pilanci DiffM 54 3 0 03 Feb 2024
Response Theory via Generative Score Modeling L. T. Giorgini Katherine Deck Tobias Bischoff Andre N. Souza 43 9 0 01 Feb 2024