Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

7 January 2021

Papers citing "Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed"

9 / 59 papers shown

Title
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 34 112 0 11 Jun 2022
Gradient-Based Constrained Sampling from Language Models Sachin Kumar Biswajit Paria Yulia Tsvetkov BDL 30 53 0 25 May 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 17 52 0 27 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 28 337 0 17 Jan 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 34 342 0 09 Dec 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 657 0 10 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 26 56 0 29 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 78 7,410 0 11 May 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 25 105 0 06 Apr 2021