On Fast Sampling of Diffusion Probabilistic Models

31 May 2021

Papers citing "On Fast Sampling of Diffusion Probabilistic Models"

18 / 68 papers shown

Title
Improved Vector Quantized Diffusion Models Zhicong Tang Shuyang Gu Jianmin Bao Dong Chen Fang Wen DiffM 187 63 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 781 0 27 May 2022
Subspace Diffusion Generative Models Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 38 75 0 03 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 22 419 0 29 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 38 66 0 31 Mar 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 35 55 0 29 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam Jun Wang Dan Su Dong Yu DiffM 39 92 0 25 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 152 14,793 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 42 541 0 15 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 41 266 0 05 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 165 0 21 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 45 146 0 05 Oct 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 31 42 0 26 Aug 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 353 0 29 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 29 82 0 11 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 45 135 0 07 Jun 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 180 726 0 02 Mar 2021