Bespoke Solvers for Generative Flow Models

29 October 2023

Papers citing "Bespoke Solvers for Generative Flow Models"

6 / 6 papers shown

Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 25 0 0 02 May 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 56 3 0 10 Jan 2025
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 34 19 0 30 May 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 32 4 0 19 May 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 30 22 0 14 Feb 2023
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021