most citedNeural Human Deformation Transfer

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Neural Mesh-Based Graphics

Shubhendu Jena, Franck Multon, Adnane Boukhayma

We revisit NPBG, the popular approach to novel view synthesis that introduced the ubiquitous point feature neural rendering paradigm. We are interested in particular in data-effici…

cs.CV2022

Learning Generalizable Light Field Networks from Few Images

Qian Li, Franck Multon, Adnane Boukhayma

We explore a new strategy for few-shot novel view synthesis based on a neural light field representation. Given a target camera pose, an implicit neural network maps each ray to it…

cs.CV2021

FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks

Nicolas Olivier, Kelian Baert, Fabien Danieau +2

In this paper, we present FaceTuneGAN, a new 3D face model representation decomposing and encoding separately facial identity and facial expression. We propose a first adaptation o…

cs.CV2021★ 1 cited

Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features

Shubhendu Jena, Franck Multon, Adnane Boukhayma

We propose to improve on graph convolution based approaches for human shape and pose estimation from monocular input, using pixel-aligned local image features. Given a single input…

cs.CV2021★ 11 cited

Neural Human Deformation Transfer

Jean Basset, Adnane Boukhayma, Stefanie Wuhrer +2

We consider the problem of human deformation transfer, where the goal is to retarget poses between different characters. Traditional methods that tackle this problem require a clea…