Bespoke Solvers for Generative Flow Models

Bespoke Solvers for Generative Flow Models

29 October 2023

Ricky T. Q. Chen

Albert Pumarola

Papers citing "Bespoke Solvers for Generative Flow Models"

19 / 19 papers shown

Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 32 0 0 02 May 2025
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening Zihan Cao Yu Zhong Liang-Jian Deng OT 47 0 0 19 Mar 2025
S4S: Solving for a Diffusion Model Solver Eric Frankel Sitan Chen J. Li Pang Wei Koh Lillian J. Ratliff Sewoong Oh DiffM 48 0 0 24 Feb 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 60 3 0 10 Jan 2025
Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners Ze Yuan Yanqing Liu Shujie Liu Sheng Zhao AuLLM 74 1 0 06 Dec 2024
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation K R Prajwal Bowen Shi Matthew Lee Apoorv Vyas Andros Tjandra ... Baishan Guo Huiyu Wang Triantafyllos Afouras David Kant Wei-Ning Hsu 43 5 0 27 Oct 2024
Hamiltonian Score Matching and Generative Flows Peter Holderrieth Yilun Xu Tommi Jaakkola 28 0 0 27 Oct 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 41 19 0 30 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models Kushagra Pandey Ruihan Yang Stephan Mandt DiffM 52 3 0 27 May 2024
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation Jonas Kohler Albert Pumarola Edgar Schönfeld A. Sanakoyeu Roshan Sumbaly Peter Vajda Ali K. Thabet 29 21 0 08 May 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 34 7 0 19 Apr 2024
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation Axel Sauer Frederic Boesel Tim Dockhorn A. Blattmann Patrick Esser Robin Rombach DiffM 46 107 0 18 Mar 2024
Animated Stickers: Bringing Stickers to Life with Video Diffusion David Yan Winnie Zhang Luxin Zhang Anmol Kalia Dingkang Wang ... Guan Pang Ali K. Thabet Peter Vajda Amy Bearman Licheng Yu VGen DiffM 56 2 0 08 Feb 2024
Audiobox: Unified Audio Generation with Natural Language Prompts Apoorv Vyas Bowen Shi Matt Le Andros Tjandra Yi-Chiao Wu ... Chris Summers Carleigh Wood Joshua Lane Mary Williamson Wei-Ning Hsu 44 75 0 25 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Guohao Li Pablo Arbelaez Ali K. Thabet 30 12 0 19 Dec 2023
Cache Me if You Can: Accelerating Diffusion Models through Block Caching Felix Wimbauer Bichen Wu Edgar Schoenfeld Xiaoliang Dai Ji Hou ... Jonas Kohler Christian Rupprecht Daniel Cremers Peter Vajda Jialiang Wang DiffM 30 57 0 06 Dec 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 37 23 0 14 Feb 2023
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 258 0 07 Jan 2021