Title
Guided Flows for Generative Modeling and Decision Making Qinqing Zheng Matt Le Neta Shaul Y. Lipman Aditya Grover Ricky T. Q. Chen 305 72 0 22 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelComputer Vision and Pattern Recognition (CVPR), 2023 Kai Yang Jian Tao Jiafei Lyu Chunjiang Ge Jiaxin Chen Qimai Li Weihan Shen Xiaolong Zhu Xiu Li EGVM 445 175 0 22 Nov 2023
Diffusion Model Alignment Using Direct Preference OptimizationComputer Vision and Pattern Recognition (CVPR), 2023 Bram Wallace Meihua Dang Rafael Rafailov Linqi Zhou Aaron Lou Senthil Purushwalkam Stefano Ermon Caiming Xiong Shafiq Joty Nikhil Naik EGVM 436 492 0 21 Nov 2023
EvalCrafter: Benchmarking and Evaluating Large Video Generation ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Yaofang Liu Xiaodong Cun Xuebo Liu Xintao Wang Yong Zhang Haoxin Chen Yang Liu Tieyong Zeng Raymond H. F. Chan Ying Shan VGen EGVM 310 225 0 17 Oct 2023
Generative Judge for Evaluating AlignmentInternational Conference on Learning Representations (ICLR), 2023 Junlong Li Shichao Sun Weizhe Yuan Run-Ze Fan Hai Zhao Pengfei Liu ELM ALM 301 137 0 09 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation Mihir Prabhudesai Anirudh Goyal Deepak Pathak Katerina Fragkiadaki 416 197 0 05 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable RewardsInternational Conference on Learning Representations (ICLR), 2023 Amita Gajewar Paul Vicol G. Bansal David J Fleet 243 287 0 29 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 6.3K 15,079 0 18 Jul 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 Jiaming Song 260 551 0 15 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward ModelNeural Information Processing Systems (NeurIPS), 2023 Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 831 6,498 0 29 May 2023
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie CalibrationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Daniel Deutsch George F. Foster Markus Freitag 274 67 0 23 May 2023
Training Diffusion Models with Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Kevin Black Michael Janner Yilun Du Ilya Kostrikov Sergey Levine EGVM 474 612 0 22 May 2023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image GenerationNeural Information Processing Systems (NeurIPS), 2023 Yuval Kirstain Adam Polyak Uriel Singer Shahbuland Matiana Joe Penna Omer Levy EGVM 932 677 0 02 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 426 631 0 13 Apr 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image GenerationNeural Information Processing Systems (NeurIPS), 2023 Jiazheng Xu Xiao Liu Yuchen Wu Yuxuan Tong Qinkai Li Ming Ding Jie Tang Yuxiao Dong 376 719 0 12 Apr 2023
Human Preference Score: Better Aligning Text-to-Image Models with Human PreferenceIEEE International Conference on Computer Vision (ICCV), 2023 Xiaoshi Wu Keqiang Sun Feng Zhu Rui Zhao Jiaming Song 239 260 0 25 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2023 Jiwen Yu Yinhuai Wang Chen Zhao Guohao Li Jian Zhang DiffM 247 262 0 17 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting StrategyIEEE International Conference on Computer Vision (ICCV), 2023 Tiankai Hang Shuyang Gu Chen Li Jianmin Bao Dong Chen Han Hu Xin Geng B. Guo 257 217 0 16 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 4.0K 20,494 0 15 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 318 378 0 23 Feb 2023
Flow Matching for Generative ModelingInternational Conference on Learning Representations (ICLR), 2022 Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 999 2,757 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowInternational Conference on Learning Representations (ICLR), 2022 Xingchao Liu Chengyue Gong Qiang Liu OOD 934 1,916 0 07 Sep 2022
Training language models to follow instructions with human feedbackNeural Information Processing Systems (NeurIPS), 2022 Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 2.0K 17,148 0 04 Mar 2022
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 2.1K 10,149 0 11 May 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 2.0K 40,471 0 26 Feb 2021
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 1.4K 8,684 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 4.5K 25,255 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020 Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 1.5K 19,430 0 17 Feb 2020
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 678 675 0 01 Oct 2019
Deep Reinforcement Learning for Multi-objective OptimizationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019 Kaiwen Li Tao Zhang Rui Wang AI4CE 263 326 0 06 Jun 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 1.1K 23,747 0 20 Jul 2017

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Improving Video Generation with Human Feedback

Papers citing "Improving Video Generation with Human Feedback"