Conditional Stochastic Interpolation for Generative Learning

9 December 2023

Papers citing "Conditional Stochastic Interpolation for Generative Learning"

8 / 8 papers shown

Title
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang Sizhe Wei Xiaoming Huo Hao Wang DiffM 102 0 0 20 Feb 2025
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models Ding Huang Ting Li Jian Huang DiffM 46 1 0 06 Jun 2024
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 257 263 0 15 Mar 2023
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 191 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 248 0 22 Sep 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 100 80 0 22 Sep 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 372 75,888 0 18 May 2015