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ControlMat: A Controlled Generative Approach to Material Capture
4 September 2023
Giuseppe Vecchio
Rosalie Martin
Arthur Roullier
Adrien Kaiser
Romain Rouffet
Valentin Deschaintre
T. Boubekeur
DiffM
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Papers citing
"ControlMat: A Controlled Generative Approach to Material Capture"
25 / 25 papers shown
Title
MaRI: Material Retrieval Integration across Domains
Jianhui Wang
Zhifei Yang
Yangfan He
Huixiong Zhang
Yuxuan Chen
Jingwei Huang
178
3
0
11 Mar 2025
MatSwap: Light-aware material transfers in images
Ivan Lopes
Valentin Deschaintre
Yannick Hold-Geoffroy
Raoul de Charette
DiffM
214
0
0
11 Feb 2025
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors
Yehonathan Litman
Or Patashnik
Kangle Deng
Aviral Agrawal
Rushikesh Zawar
Fernando de la Torre
Shubham Tulsiani
142
7
0
23 Sep 2024
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
184
4,180
1
10 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation
Á. Jiménez
DiffM
58
46
0
05 Feb 2023
Node Graph Optimization Using Differentiable Proxies
Yiwei Hu
Paul Guerrero
Miloš Hašan
Holly Rushmeier
Valentin Deschaintre
77
25
0
15 Jul 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
425
6,921
0
13 Apr 2022
An Inverse Procedural Modeling Pipeline for SVBRDF Maps
Yiwei Hu
Chen He
Valentin Deschaintre
Julie Dorsey
Holly Rushmeier
41
52
0
14 Sep 2021
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
Giuseppe Vecchio
S. Palazzo
C. Spampinato
GAN
62
37
0
23 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
166
1,238
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
306
7,958
0
11 May 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
CLIP
169
1,588
0
18 Apr 2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Peng Sun
Christos Sakaridis
Luc Van Gool
Radu Timofte
130
597
0
25 Mar 2021
Generative Modelling of BRDF Textures from Flash Images
Philipp Henzler
Valentin Deschaintre
Niloy J. Mitra
Tobias Ritschel
3DV
79
67
0
23 Feb 2021
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
304
7,500
0
06 Oct 2020
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs
Robin Rombach
Patrick Esser
Bjorn Ommer
67
16
0
04 Aug 2020
Guided Fine-Tuning for Large-Scale Material Transfer
Valentin Deschaintre
G. Drettakis
Adrien Bousseau
DiffM
3DV
87
52
0
06 Jul 2020
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
332
5,832
0
03 Dec 2019
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
68
381
0
14 Mar 2019
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
Valentin Deschaintre
M. Aittala
F. Durand
G. Drettakis
Adrien Bousseau
3DH
68
268
0
23 Oct 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
384
11,938
0
11 Jan 2018
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
253
5,079
0
02 Nov 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,568
0
31 Mar 2017
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
125
1,004
0
07 Nov 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
312
7,035
0
12 Mar 2015
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