activity
20182026
most citedSPARK: Self-supervised Personalized Real-time Monocular Face Capture

3 citations · 7 across the 17 of their papers we have counts for

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19 papers · 1 filter

cs.CV2025

GTAvatar: Bridging Gaussian Splatting and Texture Mapping for Relightable and Editable Gaussian Avatars

Kelian Baert, Mae Younes, Francois Bourel +2

Recent advancements in Gaussian Splatting have enabled increasingly accurate reconstruction of photorealistic head avatars, opening the door to numerous applications in visual effe…

cs.CV2025

SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting

Shubhendu Jena, Shishir Reddy Vutukur, Adnane Boukhayma

Recovering 3D information from scenes via multi-view stereo reconstruction (MVS) and novel view synthesis (NVS) is inherently challenging, particularly in scenarios involving spars…

cs.CV2025

Sparfels: Fast Reconstruction from Sparse Unposed Imagery

Shubhendu Jena, Amine Ouasfi, Mae Younes +1

We present a method for Sparse view reconstruction with surface element splatting that runs within 3 minutes on a consumer grade GPU. While few methods address sparse radiance fiel…

cs.CV2025

D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformations

Antoine Dumoulin, Adnane Boukhayma, Laurence Boissieux +3

We present a method to dynamically deform 3D garments, in the form of a 3D polygon mesh, based on body shape, motion, and physical cloth material properties. Considering physical c…

cs.CV2025

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints

Qian li, Victoria Fernàndez Abrevaya, Franck Multon +1

We present a method for recovering the shape and radiance of a scene consisting of multiple people given solely a few images. Multi-human scenes are complex due to additional occlu…

cs.CV20251 cited

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models

Yassir Bendou, Amine Ouasfi, Vincent Gripon +1

The growing popularity of Contrastive Language-Image Pretraining (CLIP) has led to its widespread application in various visual downstream tasks. To enhance CLIP's effectiveness an…