Generative Modeling with Phase Stochastic Bridges

v1v2v3v4 (latest)

Generative Modeling with Phase Stochastic Bridges

International Conference on Learning Representations (ICLR), 2023

11 October 2023

Evangelos A. Theodorou

ArXiv (abs)PDF HTML

Papers citing "Generative Modeling with Phase Stochastic Bridges"

14 / 14 papers shown

Title
Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis Kaizhen Zhu Mokai Pan Zhechuan Yu Jingya Wang Jingyi Yu Ye-ling Shi DiffM 136 1 0 29 Sep 2025
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics Tianrong Chen Huangjie Zheng David Berthelot Jiatao Gu J. Susskind Shuangfei Zhai DiffM 102 1 0 26 Jun 2025
Anomaly Detection and Generation with Diffusion Models: A Survey Zehua Wang Jing Liu Chengfang Li Rui Xi W. Li Liang Cao Jin Wang L. Yang Junsong Yuan Wei Zhou DiffM MedIm 207 3 0 11 Jun 2025
A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control Mokai Pan Kaizhen Zhu Yuexin Ma Yanwei Fu Jingyi Yu Jingya Wang Ye Shi 244 1 0 23 May 2025
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing Yingying Deng Xiangyu He Changwang Mei Peisong Wang Fan Tang 229 31 0 10 Dec 2024
StableAnimator: High-Quality Identity-Preserving Human Image AnimationComputer Vision and Pattern Recognition (CVPR), 2024 Shuyuan Tu Zhen Xing Xintong Han Zhi-Qi Cheng Jingdong Sun Chong Luo Zuxuan Wu VGen 500 51 0 26 Nov 2024
Constant Acceleration FlowNeural Information Processing Systems (NeurIPS), 2024 Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 241 8 0 01 Nov 2024
Hamiltonian Score Matching and Generative FlowsNeural Information Processing Systems (NeurIPS), 2024 Peter Holderrieth Yilun Xu Tommi Jaakkola 200 3 0 27 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 186 2 0 10 Oct 2024
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models Ella Tamir Arno Solin DiffM 171 0 0 01 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 421 8 0 31 May 2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control Litu Rout Yujia Chen Nataniel Ruiz Abhishek Kumar Constantine Caramanis Sanjay Shakkottai Wen-Sheng Chu DiffM 230 37 0 27 May 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 229 12 0 25 May 2024
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023 Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 477 76 0 07 Jun 2023