3 citations · 3 across the 1 of their papers we have counts for
3 papers
NIFTY: a Non-Local Image Flow Matching for Texture Synthesis
Pierrick Chatillon, Julien Rabin, David Tschumperlé
This paper addresses the problem of exemplar-based texture synthesis. We introduce NIFTY, a hybrid framework that combines recent insights on diffusion models trained with convolut…
Photometric Stereo using Gaussian Splatting and inverse rendering
Matéo Ducastel, David Tschumperlé, Yvain Quéau
Recent state-of-the-art algorithms in photometric stereo rely on neural networks and operate either through prior learning or inverse rendering optimization. Here, we revisit the p…
MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset
Clément Hardy, Yvain Quéau, David Tschumperlé
The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object, thanks to a set of photographs taken under different lighting directions. In this paper,…