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2301.10972
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On the Importance of Noise Scheduling for Diffusion Models
26 January 2023
Ting Chen
DiffM
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HuggingFace (1 upvotes)
Papers citing
"On the Importance of Noise Scheduling for Diffusion Models"
31 / 131 papers shown
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling
Naoki Sato
Hideaki Iiduka
376
4
0
15 Nov 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
International Conference on Learning Representations (ICLR), 2023
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
DiffM
376
94
0
26 Oct 2023
Matryoshka Diffusion Models
Jiatao Gu
Shuangfei Zhai
Yizhen Zhang
Joshua M. Susskind
Navdeep Jaitly
DiffM
305
66
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
306
500
0
23 Oct 2023
Debias the Training of Diffusion Models
European Conference on Computer Vision (ECCV), 2023
Huikang Yu
Li Shen
Jie Huang
Man Zhou
Hongsheng Li
Feng Zhao
DiffM
170
2
0
12 Oct 2023
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
International 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
225
109
0
11 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
International Conference on Learning Representations (ICLR), 2023
Lezhi Li
Hao Tang
Jen-Hao Rick Chang
Liangchen Song
Zinan Lin
Liangliang Cao
DiffM
214
11
0
04 Oct 2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
International Conference on Learning Representations (ICLR), 2023
Jiayan Teng
Wendi Zheng
Ming Ding
Wenyi Hong
Jianqiao Wangni
Zhuoyi Yang
Jie Tang
DiffM
229
71
0
04 Sep 2023
Texture Generation on 3D Meshes with Point-UV Diffusion
IEEE International Conference on Computer Vision (ICCV), 2023
Xin Yu
Peng Dai
Wenbo Li
Lan Ma
Zhengzhe Liu
Xiaojuan Qi
206
72
0
21 Aug 2023
Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey
International Journal of Computer Vision (IJCV), 2023
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
Xingyu Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
372
139
0
18 Aug 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement
Conference on Robot Learning (CoRL), 2023
Anthony Simeonov
Ankit Goyal
Lucas Manuelli
Lin Yen-Chen
Alina Sarmiento
Alberto Rodriguez
Pulkit Agrawal
Dieter Fox
DiffM
207
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
164
3
0
03 Jul 2023
Directional diffusion models for graph representation learning
Neural Information Processing Systems (NeurIPS), 2023
Run Yang
Yuling Yang
Fan Zhou
Qiang Sun
DiffM
125
24
0
22 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models
International 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
169
4
0
20 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
626
79
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
215
15
0
01 Jun 2023
Nested Diffusion Processes for Anytime Image Generation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Noam Elata
Bahjat Kawar
T. Michaeli
Michael Elad
DiffM
260
6
0
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Neural Information Processing Systems (NeurIPS), 2023
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
405
4
0
30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS
Dingdong Yang
Yizhi Wang
Ali Mahdavi-Amiri
Hao Zhang
DiffM
179
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
375
56
0
26 May 2023
UDPM: Upsampling Diffusion Probabilistic Models
Neural Information Processing Systems (NeurIPS), 2023
Shady Abu Hussein
Raja Giryes
DiffM
395
4
0
25 May 2023
FIT: Far-reaching Interleaved Transformers
Ting-Li Chen
Lala Li
314
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
820
389
0
17 Apr 2023
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
International Conference on Information Photonics (ICIP), 2023
Anil Osman Tur
Nicola Dall’Asen
Cigdem Beyan
Elisa Ricci
DiffM
VGen
313
42
0
12 Apr 2023
DDP: Diffusion Model for Dense Visual Prediction
IEEE 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
295
199
0
30 Mar 2023
Diffusion Schrödinger Bridge Matching
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
469
113
0
29 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
IEEE International Conference on Computer Vision (ICCV), 2023
Tiankai Hang
Shuyang Gu
Chen Li
Jianmin Bao
Dong Chen
Han Hu
Xin Geng
B. Guo
305
220
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
1.1K
2,214
0
07 Mar 2023
Simple diffusion: End-to-end diffusion for high resolution images
International Conference on Machine Learning (ICML), 2023
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
400
352
0
26 Jan 2023
Latent Diffusion for Language Generation
Neural Information Processing Systems (NeurIPS), 2022
Justin Lovelace
Varsha Kishore
Chao-gang Wan
Eliot Shekhtman
Kilian Q. Weinberger
DiffM
258
111
0
19 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
International Conference on Machine Learning (ICML), 2022
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
481
100
0
28 Nov 2022
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