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Valentin Deschaintre

Research Scientist - Adobe Research
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I am currently a Research Scientist at Adobe Research in the London lab. I previously was an Associate Researcher in the Realistic Graphics and Imaging group of Imperial College London hosted by Abhijeet Ghosh. I received my PhD at Inria Sophia-Antipolis from the GraphDeco research group under the supervision of Adrien Bousseau and George Drettakis in collaboration with Optis, an Ansys affiliate. My Thesis received the French Computer Graphics Thesis Award 2020 and UCA Academic Excellence Thesis Award 2020
During my PhD, I spent 2 great months in MIT under the supervision of Frédo Durand, at MIT CSAIL.
My research focuses on inverse rendering, with a special focus on appearance acquisition, creation, editing and representation for virtual environments.

Internships and Collaborations

Collaborations: If you are interesting in working with me on materials and virtual environments, don't hesitate to reach out!

Adobe Research Internship: I will be looking for strong PhD students to collaborate with for the 204 Adobe internship program. If you are interested in interning at Adobe with me (see my research interests above), don't hesitate to reach out (deschain@a***e.com) detailing what your research interests are, and what you would like to work on during the internship.

Past Interns

In recent years, I was happy to collaborate with great students in the context of Adobe's PhD Internship program!

Publications

Materialistic: Selecting Similar Materials in Images. Prafull Sharma, Julien Philip, Michael Gharbi, Bill Freeman, Fredo Durand, Valentin Deschaintre, Transactions on Graphics (Siggraph proc.) 2023

Generating Procedural Materials from Text or Image Prompts. Yiwei Hu, Paul Guerrero, Miloš Hašan, Holly Rushmeier, Valentin Deschaintre, Siggraph, 2023

The Visual Language of Fabrics. Valentin Deschaintre*, Julia Guerrero-Viu*, Diego Gutierrez, Tamy Boubekeur, Belen Masia, Transactions on Graphics (Siggraph proc.) 2023

PhotoMat: A Material Generator Learned from Single Flash Photos. Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Nima Kalantari, Siggraph, 2023

A Semi‐Procedural Convolutional Material Prior. Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Kalantari, CGF, 2023

TileGen: Tileable, Controllable Material Generation and Capture. Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Kalantari, Siggraph Asia 2022

Node Graph Optimization Using Differentiable Proxies. Yiwei Hu, Paul Guerrero, Miloš Hašan, Holly Rushmeier, Valentin Deschaintre, Siggraph, August 2022

Controlling Material Appearance by Examples. Yiwei Hu, Miloš Hašan, Paul Guerrero, Holly Rushmeier, Valentin Deschaintre, Computer Graphics Forum (Eurographics Symposium on Rendering Conference Proceedings), July 2022

Spectral Upsampling Approaches for RGB Illumination. Claudio Giuseppe Guarnera, Yuliya Gitlina, Valentin Deschaintre, Abhijeet Ghosh, Eurographics Symposium on Rendering - Symposium Track, July 2022

An Inverse Procedural Modeling Pipeline for SVBRDF Maps. Yiwei Hu, Chengan He, Valentin Deschaintre, Julie Dorsey, Holly Rushmeier, ACM Trans Graph, April 2022 (Presented at SIGGRAPH 2022)

Generative Modelling of BRDF Textures from Flash Images. Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel, ACM Trans Graph (Proc. SIGGRAPH Asia 2021)

  • Our paper was accepted as CVPR Oral.
Deep polarization imaging for 3D shape and SVBRDF acquisition. Valentin Deschaintre, Yiming Lin, and Abhijeet Ghosh. Proc. of CVPR, June 2021. (Patent Pending)

Computer Graphics Forum (Eurographics Symposium on Rendering Conference Proceedings), Volume 39, Number 4 - jul 2020

Université Côté d'Azur, Inria, PhD Thesis, Nov 2019

Asia, Doctoral Consortium (Poster and Short Paper), Nov 2019

Computer Graphics Forum (Eurographics Symposium on Rendering Conference Proceedings), Volume 38, Number 4, page 13 - jul 2019

ACM Transactions on Graphics (SIGGRAPH Conference Proceedings), Volume 37, Number 128, page 15 - aug 2018

Presentations

Discussion: Research and questions in neural methods for material acquisition MAM_19_NeuralNetDiscussion.pptx
Workshop on Material Appearance Modeling, jul 2019
 

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