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Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

23 February 2024

Papers citing "Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control"

40 / 40 papers shown

Title
Scaling Image and Video Generation via Test-Time Evolutionary Search Haoran He Jiajun Liang X. Wang Pengfei Wan Di Zhang Kun Gai Ling Pan DiffM 235 0 0 23 May 2025
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Yunhong Min Daehyeon Choi Kyeongmin Yeo Jihyun Lee Minhyuk Sung 107 0 0 28 Mar 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim Taehoon Yoon Jisung Hwang Minhyuk Sung DiffM 159 3 0 25 Mar 2025
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Junjie Wen Yinlin Zhu Jinming Li Zhibin Tang Yaxin Peng Feifei Feng VLM 111 27 0 09 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 114 1 0 03 Feb 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 213 6 0 10 Dec 2024
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation Huy Le Miroslav Gabriel Tai Hoang Gerhard Neumann Ngo Anh Vien 162 1 0 22 Nov 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 134 7 0 17 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 164 32 0 31 May 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 137 15 0 08 Feb 2024
Aligning Text-to-Image Diffusion Models with Reward Backpropagation Mihir Prabhudesai Anirudh Goyal Deepak Pathak Katerina Fragkiadaki 117 133 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 88 48 0 04 Oct 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 139 408 0 12 Apr 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 112 285 0 23 Feb 2023
Constitutional AI: Harmlessness from AI Feedback Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell John Kernion ... Dario Amodei Nicholas Joseph Sam McCandlish Tom B. Brown Jared Kaplan SyDa MoMe 214 1,646 0 15 Dec 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 141 95 0 02 Nov 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 218 1,053 0 07 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 103 116 0 02 Sep 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 108 224 0 17 Jun 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 103 273 0 01 Jun 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 888 13,207 0 04 Mar 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 89 101 0 17 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 96 183 0 11 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 505 15,788 0 20 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 100 118 0 30 Nov 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 125 476 0 01 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 95 66 0 27 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 303 7,958 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 382 6,586 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 304 7,492 0 06 Oct 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,717 0 05 Dec 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 71 101 0 05 Mar 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 452 5,168 0 19 Jun 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 95 674 0 02 May 2018
Controlled Sequential Monte Carlo J. Heng A. Bishop George Deligiannidis Arnaud Doucet 81 74 0 28 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,296 0 20 Jul 2017
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 73 229 0 10 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,294 0 04 Jun 2013