Improving Diffusion-Based Generative Models via Approximated Optimal Transport

8 March 2024

Papers citing "Improving Diffusion-Based Generative Models via Approximated Optimal Transport"

5 / 5 papers shown

Title
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment Yiheng Li Heyang Jiang Akio Kodaira M. Tomizuka Kurt Keutzer Chenfeng Xu DiffM 34 7 0 18 Jun 2024
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 125 0 28 Apr 2023
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 82 81 0 22 Sep 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015