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Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

10 December 2024

Papers citing "Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets"

50 / 78 papers shown

Title
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Qingming Liu Zhen Liu Dinghuai Zhang Kui Jia 48 0 0 18 Jun 2025
Proxy-Free GFlowNet Ruishuo Chen Xun Wang Rui Hu Zhuoran Li Longbo Huang 74 0 0 26 May 2025
Learning Flexible Forward Trajectories for Masked Molecular Diffusion Hyunjin Seo Taewon Kim Sihyun Yu SungSoo Ahn DiffM AI4CE 179 0 0 22 May 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun Dinghuai Zhang Jinkyoo Park Ling Pan DiffM 108 6 0 17 Feb 2025
Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang Yizhe Zhang Jiatao Gu Ruixiang Zhang J. Susskind Navdeep Jaitly Shuangfei Zhai EGVM 144 10 0 02 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 193 32 0 31 May 2024
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets Longwen Zhang Ziyu Wang Qixuan Zhang Qiwei Qiu Anqi Pang Haoran Jiang Wei Yang Lan Xu Jingyi Yu DiffM AI4CE VGen 138 156 0 30 May 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo Stephen Zhao Rob Brekelmans Alireza Makhzani Roger C. Grosse 95 41 0 26 Apr 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang 91 25 0 23 Apr 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi-An Ma Carla P. Gomes Chao Zhang 93 13 0 28 Feb 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 94 52 0 23 Feb 2024
QGFN: Controllable Greediness with Action Values Elaine Lau Stephen Zhewen Lu Ling Pan Doina Precup Emmanuel Bengio 175 14 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 241 28 0 07 Feb 2024
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gege Gao Weiyang Liu Anpei Chen Andreas Geiger Bernhard Schölkopf DiffM 114 52 0 30 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 345 1,190 0 25 Nov 2023
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization Weiyang Liu Zeju Qiu Yao Feng Yuliang Xiu Yuxuan Xue ... Songyou Peng Yandong Wen Michael J. Black Adrian Weller Bernhard Schölkopf 114 72 0 10 Nov 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 106 116 0 25 Oct 2023
Ghost on the Shell: An Expressive Representation of General 3D Shapes Zhen Liu Yao Feng Yuliang Xiu Weiyang Liu Liam Paull Michael J. Black Bernhard Schölkopf 105 23 0 23 Oct 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 114 35 0 19 Oct 2023
PhyloGFN: Phylogenetic inference with generative flow networks Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio 82 18 0 12 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation Mihir Prabhudesai Anirudh Goyal Deepak Pathak Katerina Fragkiadaki 146 133 0 05 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 137 49 0 04 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards Amita Gajewar Paul Vicol G. Bansal David J Fleet 128 177 0 29 Sep 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Luhuan Wu Brian L. Trippe C. A. Naesseth David M. Blei John P. Cunningham DiffM 124 102 0 30 Jun 2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis Xiaoshi Wu Yiming Hao Keqiang Sun Yixiong Chen Feng Zhu Rui Zhao Hongsheng Li 145 316 0 15 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu Wei-yu Liu Haiwen Feng Yuxuan Xue Yao Feng Zhen Liu Dan Zhang Adrian Weller Bernhard Schölkopf DiffM 137 158 0 12 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 405 4,190 0 29 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 143 37 0 26 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan Olivia Watkins Yuqing Du Hao Liu Moonkyung Ryu Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh Kangwook Lee Kimin Lee 172 167 0 25 May 2023
Training Diffusion Models with Reinforcement Learning Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 171 379 0 22 May 2023
Towards Understanding and Improving GFlowNet Training Max W. Shen Emmanuel Bengio Ehsan Hajiramezanali Andreas Loukas Kyunghyun Cho Tommaso Biancalani 66 57 0 11 May 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Hanze Dong Wei Xiong Deepanshu Goyal Yihan Zhang Winnie Chow Boyao Wang Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang ALM 162 470 0 13 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 185 413 0 12 Apr 2023
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference Xiaoshi Wu Keqiang Sun Feng Zhu Rui Zhao Hongsheng Li 130 164 0 25 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling Zhen Liu Yao Feng Michael J. Black Derek Nowrouzezahrai Liam Paull Wei-yu Liu DiffM 102 161 0 14 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 169 286 0 23 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 129 34 0 19 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 96 28 0 11 Feb 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories L. Pan Nikolay Malkin Dinghuai Zhang Yoshua Bengio 108 73 0 03 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 111 55 0 01 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 155 93 0 30 Jan 2023
Robust Scheduling with GFlowNets David W. Zhang Corrado Rainone M. Peschl Roberto Bondesan 134 57 0 17 Jan 2023
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 134 82 0 19 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 254 616 0 02 Nov 2022
Generative Augmented Flow Networks L. Pan Dinghuai Zhang Aaron Courville Longbo Huang Yoshua Bengio 188 49 0 07 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 318 1,394 0 06 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 186 1,549 0 05 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 239 89 0 02 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 345 2,445 0 29 Sep 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 657 6,107 0 23 May 2022