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On the Importance of Noise Scheduling for Diffusion Models

26 January 2023

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Papers citing "On the Importance of Noise Scheduling for Diffusion Models"

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Title
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling Naoki Sato Hideaki Iiduka 348 4 0 15 Nov 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed SamplingInternational Conference on Learning Representations (ICLR), 2023 Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber DiffM 353 93 0 26 Oct 2023
Matryoshka Diffusion Models Jiatao Gu Shuangfei Zhai Yizhen Zhang Joshua M. Susskind Navdeep Jaitly DiffM 278 65 0 23 Oct 2023
Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model Ruoxi Shi Hansheng Chen Zhuoyang Zhang Minghua Liu Chao Xu Xinyue Wei Linghao Chen Chong Zeng Hao Su VLM 295 496 0 23 Oct 2023
Debias the Training of Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023 Huikang Yu Li Shen Jie Huang Man Zhou Hongsheng Li Feng Zhao DiffM 158 2 0 12 Oct 2023
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Yin-Yin He Shaoshu Yang Haoxin Chen Xiaodong Cun Menghan Xia Yong Zhang Xintao Wang Ran He Qifeng Chen Ying Shan 194 109 0 11 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One DayInternational Conference on Learning Representations (ICLR), 2023 Lezhi Li Hao Tang Jen-Hao Rick Chang Liangchen Song Zinan Lin Liangliang Cao DiffM 206 11 0 04 Oct 2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesisInternational Conference on Learning Representations (ICLR), 2023 Jiayan Teng Wendi Zheng Ming Ding Wenyi Hong Jianqiao Wangni Zhuoyi Yang Jie Tang DiffM 204 70 0 04 Sep 2023
Texture Generation on 3D Meshes with Point-UV DiffusionIEEE International Conference on Computer Vision (ICCV), 2023 Xin Yu Peng Dai Wenbo Li Lan Ma Zhengzhe Liu Xiaojuan Qi 201 72 0 21 Aug 2023
Diffusion Models for Image Restoration and Enhancement: A Comprehensive SurveyInternational Journal of Computer Vision (IJCV), 2023 Xin Li Yulin Ren Xin Jin Cuiling Lan Xingyu Wang Wenjun Zeng Xinchao Wang Zhibo Chen 329 135 0 18 Aug 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal RearrangementConference on Robot Learning (CoRL), 2023 Anthony Simeonov Ankit Goyal Lucas Manuelli Lin Yen-Chen Alina Sarmiento Alberto Rodriguez Pulkit Agrawal Dieter Fox DiffM 183 51 0 10 Jul 2023
MADS: Modulated Auto-Decoding SIREN for time series imputation Tom Bamford Elizabeth Fons Yousef El-Laham Svitlana Vyetrenko AI4TS AI4CE 144 3 0 03 Jul 2023
Directional diffusion models for graph representation learningNeural Information Processing Systems (NeurIPS), 2023 Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 121 24 0 22 Jun 2023
Eliminating Lipschitz Singularities in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Zhantao Yang Ruili Feng Han Zhang Yujun Shen Kaixuan Zhu ... Yifei Zhang Yu Liu Deli Zhao Jingren Zhou Fan Cheng 165 19 0 20 Jun 2023
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023 Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 607 78 0 07 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models Ruibin Li Qihua Zhou Song Guo Jiewei Zhang Jingcai Guo Xinyang Jiang Yifei Shen Zhen-Hai Han DiffM 206 15 0 01 Jun 2023
Nested Diffusion Processes for Anytime Image GenerationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Noam Elata Bahjat Kawar T. Michaeli Michael Elad DiffM 236 6 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 380 4 0 30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS Dingdong Yang Yizhi Wang Ali Mahdavi-Amiri Hao Zhang DiffM 149 0 0 29 May 2023
High-Fidelity Image Compression with Score-based Generative Models Emiel Hoogeboom E. Agustsson Fabian Mentzer Luca Versari G. Toderici Lucas Theis DiffM 353 56 0 26 May 2023
UDPM: Upsampling Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023 Shady Abu Hussein Raja Giryes DiffM 343 4 0 25 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 292 16 0 22 May 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 750 386 0 17 Apr 2023
Exploring Diffusion Models for Unsupervised Video Anomaly DetectionInternational Conference on Information Photonics (ICIP), 2023 Anil Osman Tur Nicola Dall’Asen Cigdem Beyan Elisa Ricci DiffM VGen 301 42 0 12 Apr 2023
DDP: Diffusion Model for Dense Visual PredictionIEEE International Conference on Computer Vision (ICCV), 2023 Yuanfeng Ji Zhe Chen Enze Xie Lanqing Hong Xihui Liu Zhaoqiang Liu Tong Lu Zhenguo Li Ping Luo DiffM VLM 271 197 0 30 Mar 2023
Diffusion Schrödinger Bridge MatchingNeural Information Processing Systems (NeurIPS), 2023 Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 443 113 0 29 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting StrategyIEEE International Conference on Computer Vision (ICCV), 2023 Tiankai Hang Shuyang Gu Chen Li Jianmin Bao Dong Chen Han Hu Xin Geng B. Guo 277 218 0 16 Mar 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 988 2,161 0 07 Mar 2023
Simple diffusion: End-to-end diffusion for high resolution imagesInternational Conference on Machine Learning (ICML), 2023 Emiel Hoogeboom Jonathan Heek Tim Salimans 350 348 0 26 Jan 2023
Latent Diffusion for Language GenerationNeural Information Processing Systems (NeurIPS), 2022 Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 243 108 0 19 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022 Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 460 101 0 28 Nov 2022

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On the Importance of Noise Scheduling for Diffusion Models

Papers citing "On the Importance of Noise Scheduling for Diffusion Models"