Noise Estimation for Generative Diffusion Models

6 April 2021

Robin San-Roman

Papers citing "Noise Estimation for Generative Diffusion Models"

31 / 31 papers shown

Title
Realistic Noise Synthesis with Diffusion Models Qi Wu Mingyan Han Ting Jiang Chengzhi Jiang B. Zeng Man Jiang Haoqiang Fan Shuaicheng Liu DiffM 77 1 0 03 Jan 2025
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 2 0 30 Jun 2024
Image Neural Field Diffusion Models Yinbo Chen Oliver Wang Richard Zhang Eli Shechtman Xiaolong Wang Michael Gharbi DiffM 29 3 0 11 Jun 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 32 2 0 26 May 2024
Automatic Controllable Colorization via Imagination Xiaoyan Cong Yue Wu Qifeng Chen Chenyang Lei DiffM 24 5 0 08 Apr 2024
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 18 1 0 08 Nov 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI Bochuan Cao Changjiang Li Ting Wang Jinyuan Jia Bo Li Jinghui Chen DiffM 17 21 0 30 Oct 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models Tomer Amit Shmuel Shichrur Tal Shaharabany Lior Wolf MedIm DiffM 23 10 0 15 Jun 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 34 152 0 08 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser Johnathan Chiu Parmida Atighehchian Jonathan Granskog Anastasis Germanidis DiffM VGen 54 506 0 06 Feb 2023
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 15 156 0 28 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image Weilun Wang Jianmin Bao Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 12 49 0 22 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 28 181 0 15 Nov 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Xutao Guo Yanwu Yang Chenfei Ye Shangfeng Lu Yang Xiang Tingxia Ma MedIm DiffM 32 31 0 27 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 0 07 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 20 8 0 02 Oct 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 44 13 0 29 Sep 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Rongjie Huang Zhou Zhao Huadai Liu Jinglin Liu Chenye Cui Yi Ren DiffM 44 193 0 13 Jul 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 214 176 0 30 Jun 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang Max W. Y. Lam J. Wang Dan Su Dong Yu Yi Ren Zhou Zhao DiffM 28 164 0 21 Apr 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion Tianpei Gu Guangyi Chen Junlong Li Chunze Lin Yongming Rao Jie Zhou Jiwen Lu DiffM VGen 27 192 0 25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam J. Wang Dan Su Dong Yu DiffM 29 92 0 25 Mar 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training Zehua Chen Xu Tan Ke Wang Shifeng Pan Danilo P. Mandic Lei He Sheng Zhao DiffM 18 28 0 08 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
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 112 14,612 0 20 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 28 262 0 05 Dec 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 656 0 10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 37 134 0 07 Jun 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 258 0 07 Jan 2021
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 220 239 0 25 Sep 2019