43 citations · 45 across the 2 of their papers we have counts for
6 papers
Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training
Julien Philip, Valentin Deschaintre
NeRF acquisition typically requires careful choice of near planes for the different cameras or suffers from background collapse, creating floating artifacts on the edges of the cap…
Deep Polarization Imaging for 3D shape and SVBRDF Acquisition
Valentin Deschaintre, Yiming Lin, Abhijeet Ghosh
We present a novel method for efficient acquisition of shape and spatially varying reflectance of 3D objects using polarization cues. Unlike previous works that have exploited pola…
Generative Modelling of BRDF Textures from Flash Images
Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra +1
We learn a latent space for easy capture, consistent interpolation, and efficient reproduction of visual material appearance. When users provide a photo of a stationary natural mat…
Guided Fine-Tuning for Large-Scale Material Transfer
Valentin Deschaintre, George Drettakis, Adrien Bousseau
We present a method to transfer the appearance of one or a few exemplar SVBRDFs to a target image representing similar materials. Our solution is extremely simple: we fine-tune a d…
Flexible SVBRDF Capture with a Multi-Image Deep Network
Valentin Deschaintre, Miika Aittala, Fredo Durand +2
Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph. Such lightweight capture is in stark contrast…
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
Valentin Deschaintre, Miika Aittala, Fredo Durand +2
Texture, highlights, and shading are some of many visual cues that allow humans to perceive material appearance in single pictures. Yet, recovering spatially-varying bi-directional…