Thomas Walker — accepted AI-conference papers

2026

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition

Amr Sharafeldin, Aryan Mikaeili, Thomas Walker, Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi +1

CVPR 2026

Modern scene reconstruction methods, such as 3D Gaussian Splatting, deliver photo-realistic novel view synthesis at real-time speeds, yet their adoption in interactive graphics applications has been limited. A major bottleneck is the difficulty of interacting with these representations compared to t

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2025

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections

Thomas Walker, Salvatore Esposito, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li +1

CVPR 2025poster

Reconstructing complex structures from planar cross-sections is a challenging problem, with wide-reaching applications in medical imaging, manufacturing, and topography. Out-of-the-box point cloud reconstruction methods can often fail due to the data sparsity between slicing planes, while current be…

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