Constrained Diffusion Models via Dual Training

27 August 2024

Alejandro Ribeiro

Papers citing "Constrained Diffusion Models via Dual Training"

50 / 57 papers shown

Title
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 104 4 0 18 Jun 2024
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Ehsan Hajiramezanali Gabriele Scalia Gökçen Eraslan Avantika Lal Sergey Levine Tommaso Biancalani 83 16 0 30 May 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 107 58 0 11 Apr 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 50 5 0 18 Mar 2024
Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond Wenpin Tang 61 14 0 10 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 86 36 0 06 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 57 22 0 02 Mar 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Tommaso Biancalani Sergey Levine 73 49 0 23 Feb 2024
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases Ziyi Zhang Sen Zhang Yibing Zhan Yong Luo Yonggang Wen Dacheng Tao EGVM 74 15 0 13 Feb 2024
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints Jian Chen Ruiyi Zhang Yufan Zhou Rajiv Jain Zhiqiang Xu Ryan Rossi Changyou Chen DiffM 83 14 0 07 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 87 16 0 28 Jan 2024
Finetuning Text-to-Image Diffusion Models for Fairness Xudong Shen Chao Du Tianyu Pang Min Lin Yongkang Wong Mohan S. Kankanhalli 83 56 0 11 Nov 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 59 23 0 02 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards Amita Gajewar Paul Vicol G. Bansal David J Fleet 70 171 0 29 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 71 28 0 20 Sep 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 83 116 0 07 Aug 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement Hui Yuan Kaixuan Huang Chengzhuo Ni Minshuo Chen Mengdi Wang DiffM 89 37 0 13 Jul 2023
Metropolis Sampling for Constrained Diffusion Models N. Fishman Leo Klarner Emile Mathieu M. Hutchinson Valentin De Bortoli DiffM 55 16 0 11 Jul 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 74 62 0 15 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 42 12 0 04 Jun 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 65 34 0 29 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 134 362 0 22 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models A. Blattmann Robin Rombach Huan Ling Tim Dockhorn Seung Wook Kim Sanja Fidler Karsten Kreis 3DGS VGen 196 1,092 0 18 Apr 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation Jiazheng Xu Xiao Liu Yuchen Wu Yuxuan Tong Qinkai Li Ming Ding Jie Tang Yuxiao Dong 125 376 0 12 Apr 2023
Diffusion Models for Constrained Domains N. Fishman Leo Klarner Valentin De Bortoli Emile Mathieu M. Hutchinson DiffM 72 38 0 11 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 65 55 0 10 Apr 2023
Social Biases through the Text-to-Image Generation Lens Ranjita Naik Besmira Nushi 160 123 0 30 Mar 2023
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference Xiaoshi Wu Keqiang Sun Feng Zhu Rui Zhao Hongsheng Li 89 153 0 25 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma Ruiqi Gao DiffM 48 139 0 01 Mar 2023
Aligning Text-to-Image Models using Human Feedback Kimin Lee Hao Liu Moonkyung Ryu Olivia Watkins Yuqing Du Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh S. Gu EGVM 99 282 0 23 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 105 140 0 22 Feb 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 83 269 0 14 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 81 124 0 07 Feb 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 73 58 0 31 Jan 2023
Optimizing Prompts for Text-to-Image Generation Y. Hao Zewen Chi Li Dong Furu Wei 88 145 0 19 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 99 384 0 14 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 66 139 0 03 Nov 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 199 270 0 22 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 266 1,222 0 10 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 131 224 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 357 1,385 0 02 Sep 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 90 344 0 25 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 172 521 0 03 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 437 6,023 0 23 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 458 15,665 0 20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 230 7,857 0 11 May 2021
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 33 37 0 08 Mar 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 155 1,457 0 21 Sep 2020