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Maximum Likelihood Training of Score-Based Diffusion Models

Neural Information Processing Systems (NeurIPS), 2021

22 January 2021

Papers citing "Maximum Likelihood Training of Score-Based Diffusion Models"

50 / 512 papers shown

Title
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem SolversIEEE Open Journal of Signal Processing (JOSP), 2025 Evan Scope Crafts Umberto Villa 320 0 0 04 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 488 11 0 03 Mar 2025
Generative Uncertainty in Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 365 2 0 28 Feb 2025
On the Interpolation Effect of Score Smoothing in Diffusion Models Zhengdao Chen DiffM 370 4 0 26 Feb 2025
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance Mintong Kang Vinayshekhar Bannihatti Kumar Shamik Roy Abhishek Kumar Sopan Khosla Balakrishnan Narayanaswamy Rashmi Gangadharaiah 142 1 0 25 Feb 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 319 4 0 24 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2025 Zekun Wang Mingyang Yi Shuchen Xue Zhiyu Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 285 0 0 24 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 209 10 0 20 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 361 1 0 13 Feb 2025
Advanced Zero-Shot Text-to-Speech for Background Removal and Preservation with Controllable Masked Speech PredictionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Leying Zhang Feiyu Xiong Zhengyang Chen Yanmin Qian 84 3 0 11 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE SolversInternational Conference on Learning Representations (ICLR), 2025 Ao Li Wei Fang Hongbo Zhao Le Lu Ge Yang Minfeng Xu DiffM 329 4 0 11 Feb 2025
Dual Caption Preference Optimization for Diffusion Models Amir Saeidi Yiran Luo Agneet Chatterjee Shamanthak Hegde Bimsara Pathiraja Yezhou Yang Chitta Baral DiffM 289 1 0 09 Feb 2025
Diffusion Generative Modeling on Lie Group Representations Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 400 2 0 04 Feb 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 418 4 0 04 Feb 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh Dmitry Vetrov C. A. Naesseth 380 7 0 04 Feb 2025
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren Haoxuan Chen Yuchen Zhu Wei Guo Yongxin Chen Grant M. Rotskoff Molei Tao Lexing Ying DiffM 252 25 0 01 Feb 2025
Visual Generation Without Guidance Huayu Chen Kai Jiang Kaiwen Zheng Jianfei Chen Hang Su Jun Zhu VLM 365 9 0 26 Jan 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 156 0 0 20 Jan 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving MapsInternational Conference on Learning Representations (ICLR), 2025 Henry Li Ronen Basri Y. Kluger DiffM 383 3 0 13 Jan 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion Xiyue Zhu Dou Hoon Kwark Ruike Zhu Kaiwen Hong Yiqi Tao Shirui Luo Yudu Li Zhi-Pei Liang Volodymyr V. Kindratenko MedIm 281 0 0 13 Jan 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 332 14 0 10 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 341 4 0 03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsNeural Information Processing Systems (NeurIPS), 2024 Daniela de Albuquerque John Pearson DiffM 352 1 0 03 Jan 2025
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight TrajectoriesComputer Vision and Pattern Recognition (CVPR), 2024 Eric Hedlin Munawar Hayat Fatih Porikli Kwang Moo Yi Shweta Mahajan 3DH 330 2 0 22 Dec 2024
Optimizing Few-Step Sampler for Diffusion Probabilistic Model Jen-Yuan Huang DiffM 242 0 0 14 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie DubbingComputer Vision and Pattern Recognition (CVPR), 2024 Gaoxiang Cong Jiadong Pan Liang-Sheng Li Yuankai Qi Yuxin Peng Anton Van Den Hengel Jian Yang Qingming Huang 488 14 0 12 Dec 2024
Diffusion models learn distributions generated by complex Langevin dynamics Diaa E. Habibi Gert Aarts Lei Wang K. Zhou DiffM 193 4 0 02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 432 1 0 29 Nov 2024
Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack Xide Xu Muhammad Atif Butt Sandesh Kamath Bogdan Raducanu DiffM AAML 256 3 0 25 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 222 0 0 10 Nov 2024
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation Sanchar Palit Sathya Veera Reddy Dendi Mallikarjuna Talluri Raj Narayana Gadde 198 0 0 09 Nov 2024
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model Yu Guan Kunlong Zhang Qi Qi Dong Wang Ziwen Ke Shaoyu Wang Dong Liang Qiegen Liu MedIm 239 0 0 06 Nov 2024
Video prediction using score-based conditional density estimation P. Fiquet Eero P. Simoncelli AI4TS 124 0 0 30 Oct 2024
Consistency Diffusion Bridge ModelsNeural Information Processing Systems (NeurIPS), 2024 Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 249 13 0 30 Oct 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 294 7 0 28 Oct 2024
Conjuring Semantic Similarity Tian Yu Liu Stefano Soatto DiffM 432 0 0 21 Oct 2024
Dynamic Negative Guidance of Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 444 17 0 18 Oct 2024
Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport Zhanpeng Wang Shenghao Li Chen Wang Shuting Cao Na Lei Zhongxuan Luo OT 129 0 0 17 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner DiffM TDI 530 16 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 172 0 0 16 Oct 2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal PerspectiveInternational Conference on Learning Representations (ICLR), 2024 Xiangru Zhu Yixiang Chen Yaoxian Song Yanghua Xiao Zhixu Li Chengyu Wang Jun Huang Bei Yang Xiaoxiao Xu EGVM 920 2 0 14 Oct 2024
Scaling Laws For Diffusion Transformers Zhengyang Liang Hao He Ceyuan Yang Bo Dai 237 23 0 10 Oct 2024
Animating the Past: Reconstruct Trilobite via Video GenerationBigData Congress [Services Society] (BSS), 2024 Xiaoran Wu Zien Huang Chonghan Yu VGen 162 1 0 10 Oct 2024
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-ResolutionNeural Information Processing Systems (NeurIPS), 2024 Qi Tang Yao Zhao Meiqin Liu Chao Yao VGen DiffM 163 3 0 08 Oct 2024
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction Hyungjin Chung Dohun Lee Jong Chul Ye VGen DiffM 135 2 0 07 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Xue Liu Tianyu He Jiang Bian Renhe Jiang MedIm 588 11 0 07 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image RestorationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Zhiyu Zhu Jinhui Hou Hui Liu H. Zeng Junhui Hou 294 3 0 07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 193 14 0 06 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 240 1 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral FrameworkInternational Conference on Learning Representations (ICLR), 2024 Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 247 24 0 04 Oct 2024