Let us Build Bridges: Understanding and Extending Diffusion Generative
Models

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

31 August 2022

Papers citing "Let us Build Bridges: Understanding and Extending Diffusion Generative Models"

12 / 62 papers shown

Title
Information-Theoretic Diffusion Xianghao Kong Rob Brekelmans Greg Ver Steeg DiffM 14 14 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 21 19 0 07 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 22 226 0 01 Feb 2023
Fast Point Cloud Generation with Straight Flows Lemeng Wu Dilin Wang Chengyue Gong Xingchao Liu Yunyang Xiong Rakesh Ranjan Raghuraman Krishnamoorthi Vikas Chandra Qiang Liu 40 40 0 04 Dec 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 30 20 0 07 Nov 2022
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence Kaylee Yingxi Yang Andre Wibisono 16 12 0 02 Nov 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 123 245 0 22 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 27 838 0 07 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges Lemeng Wu Chengyue Gong Xingchao Liu Mao Ye Qiang Liu DiffM 20 108 0 02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 172 719 0 02 Mar 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021