31 citations · 36 across the 3 of their papers we have counts for
5 papers
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane, Aayush Bansal, Verica Lazova +1
Recent neural view synthesis methods have achieved impressive quality and realism, surpassing classical pipelines which rely on multi-view reconstruction. State-of-the-Art methods,…
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane, Aymen Mir, Gerard Pons-Moll
In this work we target a learnable output representation that allows continuous, high resolution outputs of arbitrary shape. Recent works represent 3D surfaces implicitly with a Ne…
SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results
Alexandre Saint, Anis Kacem, Kseniya Cherenkova +7
The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020, is the first edition of a challenge fostering and benchmarking methods for recovering complete textured 3D…
Implicit Feature Networks for Texture Completion from Partial 3D Data
Julian Chibane, Gerard Pons-Moll
Prior work to infer 3D texture use either texture atlases, which require uv-mappings and hence have discontinuities, or colored voxels, which are memory inefficient and limited in…
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
While many works focus on 3D reconstruction from images, in this paper, we focus on 3D shape reconstruction and completion from a variety of 3D inputs, which are deficient in some…