1 citations · 1 across the 6 of their papers we have counts for
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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…
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…
Toward Robust Neural Reconstruction from Sparse Point Sets
Amine Ouasfi, Shubhendu Jena, Eric Marchand +1
We consider the challenging problem of learning Signed Distance Functions (SDF) from sparse and noisy 3D point clouds. In contrast to recent methods that depend on smoothness prior…
GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning
Shubhendu Jena, Franck Multon, Adnane Boukhayma
This paper presents a novel approach for sparse 3D reconstruction by leveraging the expressive power of Neural Radiance Fields (NeRFs) and fast transfer of their features to learn…
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…
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…