ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.11615
  4. Cited By
Factorized Diffusion: Perceptual Illusions by Noise Decomposition

Factorized Diffusion: Perceptual Illusions by Noise Decomposition

17 April 2024
Daniel Geng
Inbum Park
Andrew Owens
    DiffM
ArXivPDFHTML

Papers citing "Factorized Diffusion: Perceptual Illusions by Noise Decomposition"

15 / 15 papers shown
Title
Hand-Shadow Poser
Hand-Shadow Poser
Hao Xu
Yinqiao Wang
Niloy J. Mitra
Shuaicheng Liu
Pheng-Ann Heng
Chi-Wing Fu
3DH
29
0
0
11 May 2025
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
Z. Wang
Haipeng Li
Lin Sui
Tianhao Zhou
Hai Jiang
Lang Nie
Shuaicheng Liu
DiffM
VGen
49
0
0
10 May 2025
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
Taihang Hu
Linxuan Li
Kai Wang
Yaxing Wang
Jian Yang
Ming-Ming Cheng
DiffM
VGen
23
0
0
14 Apr 2025
LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
Pascal Chang
Sergio Sancho
Jingwei Tang
Markus Gross
Vinicius Azevedo
28
0
0
11 Apr 2025
FreSca: Unveiling the Scaling Space in Diffusion Models
FreSca: Unveiling the Scaling Space in Diffusion Models
Chao Huang
Susan Liang
Yunlong Tang
Li Ma
Yapeng Tian
Chenliang Xu
DiffM
48
0
0
02 Apr 2025
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
Hyunjun Lee
Hyunsoo Lee
Sookwan Han
DiffM
48
0
0
27 Mar 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Prin Phunyaphibarn
Phillip Y. Lee
Jaihoon Kim
Minhyuk Sung
DiffM
86
0
0
26 Mar 2025
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht
Feng Liu
DiffM
97
1
0
20 Jan 2025
The Art of Deception: Color Visual Illusions and Diffusion Models
The Art of Deception: Color Visual Illusions and Diffusion Models
Alex Gomez-Villa
Kai Wang
Alejandro C. Parraga
Bartlomiej Twardowski
Jesús Malo
Javier Vázquez-Corral
Joost van de Weijer
DiffM
85
2
0
13 Dec 2024
MatchDiffusion: Training-free Generation of Match-cuts
MatchDiffusion: Training-free Generation of Match-cuts
Alejandro Pardo
Fabio Pizzati
Tong Zhang
Alexander Pondaven
Philip H. S. Torr
Juan C. Pérez
Bernard Ghanem
DiffM
VGen
75
1
0
27 Nov 2024
Making Images from Images: Interleaving Denoising and Transformation
Making Images from Images: Interleaving Denoising and Transformation
S. Baluja
David Marwood
Ashwin Baluja
DiffM
70
0
0
24 Nov 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and
  Machine Learning
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
P. Milanfar
M. Delbracio
AI4CE
67
9
0
10 Sep 2024
Images that Sound: Composing Images and Sounds on a Single Canvas
Images that Sound: Composing Images and Sounds on a Single Canvas
Ziyang Chen
Daniel Geng
Andrew Owens
DiffM
48
9
0
20 May 2024
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
212
778
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
213
1,354
0
24 Jan 2022
1