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2106.15282
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Cascaded Diffusion Models for High Fidelity Image Generation
Journal of machine learning research (JMLR), 2021
30 May 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
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ArXiv (abs)
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Papers citing
"Cascaded Diffusion Models for High Fidelity Image Generation"
50 / 964 papers shown
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Jane Wu
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Peter Hedman
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Jiahui Huang
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235
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Prafull Sharma
Varun Jampani
Yuanzhen Li
Xuhui Jia
Dmitry Lagun
Frédo Durand
William T. Freeman
Mark J. Matthews
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328
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05 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
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05 Dec 2023
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
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Chenchen Zhu
Sean Culatana
Raghuraman Krishnamoorthi
Fanyi Xiao
Yong Jae Lee
527
21
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04 Dec 2023
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
Computer Vision and Pattern Recognition (CVPR), 2023
Jiapeng Tang
Angela Dai
Yinyu Nie
Lev Markhasin
Justus Thies
Matthias Niessner
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652
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Consistent Mesh Diffusion
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Xifeng Gao
229
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TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
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Kai Chen
Zhili Liu
Ruiyuan Gao
Lanqing Hong
Guo Zhou
Hua Yao
Dit-Yan Yeung
Huchuan Lu
Xu Jia
VGen
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208
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0
01 Dec 2023
DFU: scale-robust diffusion model for zero-shot super-resolution image generation
Alex Havrilla
Kevin Rojas
Wenjing Liao
Molei Tao
365
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30 Nov 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models
Computer Vision and Pattern Recognition (CVPR), 2023
Jinxin Zhou
Tianyu Ding
Tianyi Chen
Jiachen Jiang
Ilya Zharkov
Zhihui Zhu
Luming Liang
301
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MotionEditor: Editing Video Motion via Content-Aware Diffusion
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Shuyuan Tu
Jingdong Sun
Zhi-Qi Cheng
Hang-Rui Hu
Xintong Han
Zuxuan Wu
Yu-Gang Jiang
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215
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Detailed Human-Centric Text Description-Driven Large Scene Synthesis
Gwanghyun Kim
Dong un Kang
H. Seo
Hayeon Kim
Se Young Chun
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177
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Diffusion Models Without Attention
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Jing Nathan Yan
Jiatao Gu
Alexander M. Rush
326
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Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Yaoyao Liu
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405
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Computer Vision and Pattern Recognition (CVPR), 2023
Moayed Haji-Ali
Guha Balakrishnan
Vicente Ordonez
558
37
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4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
Computer Vision and Pattern Recognition (CVPR), 2023
Sherwin Bahmani
Ivan Skorokhodov
Victor Rong
Gordon Wetzstein
Leonidas Guibas
Peter Wonka
Sergey Tulyakov
Jeong Joon Park
Andrea Tagliasacchi
David B. Lindell
DiffM
489
168
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29 Nov 2023
SODA: Bottleneck Diffusion Models for Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Drew A. Hudson
Daniel Zoran
Mateusz Malinowski
Andrew Kyle Lampinen
Andrew Jaegle
James L. McClelland
Loic Matthey
Felix Hill
Alexander Lerchner
DiffM
329
78
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29 Nov 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks
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Ryan Rossi
David Arbour
Tong Yu
Franck Dernoncourt
Sungchul Kim
Nedim Lipka
Namyong Park
Nesreen K. Ahmed
Danai Koutra
DiffM
269
0
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29 Nov 2023
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
Computer Vision and Pattern Recognition (CVPR), 2023
Dave Zhenyu Chen
Haoxuan Li
Hsin-Ying Lee
Sergey Tulyakov
Matthias Nießner
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277
40
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Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
Mohammad Mahdi Derakhshani
Menglin Xia
Harkirat Singh Behl
Cees G. M. Snoek
Victor Rühle
150
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ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
European Conference on Computer Vision (ECCV), 2023
Anindita Ghosh
Rishabh Dabral
Vladislav Golyanik
Christian Theobalt
Philipp Slusallek
367
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Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2023
Delaram Pirhayatifard
Taha Toghani
Guha Balakrishnan
César A. Uribe
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290
2
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GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
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Jiemin Fang
Junjie Wang
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Lingxi Xie
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330
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Wei Lu
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162
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Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
European Conference on Computer Vision (ECCV), 2023
C. Rota
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325
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LLMGA: Multimodal Large Language Model based Generation Assistant
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Bin Xia
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376
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268
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Functional Diffusion
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DiffM
358
12
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Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
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Tim Dockhorn
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FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
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197
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Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
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Tham Yik Foong
Danilo Vasconcellos Vargas
221
6
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ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model
International Conference on Learning Representations (ICLR), 2023
Eslam Mohamed Bakr
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Vincent Tao Hu
Matthieu Cord
Patrick Pérez
Mohamed Elhoseiny
184
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24 Nov 2023
DemoFusion: Democratising High-Resolution Image Generation With No $$$
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Ruoyi Du
Dongliang Chang
Timothy M. Hospedales
Yi-Zhe Song
Zhanyu Ma
287
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A Somewhat Robust Image Watermark against Diffusion-based Editing Models
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Somesh Jha
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250
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WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
International Conference on Learning Representations (ICLR), 2023
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Andreas Geiger
Karsten Kreis
311
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FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
European Conference on Computer Vision (ECCV), 2023
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Kyle Fogarty
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247
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229
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3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features
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234
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