3 papers
cs.CV2026
BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object Extraction
Alessio Mazzucchelli, Maria Naranjo-Almeida, Jorge Bustos-Sanchez +4
Most Gaussian Splatting techniques that provide a 3D semantic representation of the scene do not optimize the underlying 3D geometry, making object-level editing or asset extractio…
cs.CV2024
IReNe: Instant Recoloring of Neural Radiance Fields
Alessio Mazzucchelli, Adrian Garcia-Garcia, Elena Garces +3
Advances in NERFs have allowed for 3D scene reconstructions and novel view synthesis. Yet, efficiently editing these representations while retaining photorealism is an emerging cha…
cs.CV2024
MEGA: Masked Generative Autoencoder for Human Mesh Recovery
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +1
Human Mesh Recovery (HMR) from a single RGB image is a highly ambiguous problem, as an infinite set of 3D interpretations can explain the 2D observation equally well. Nevertheless,…