activity
20192026
most citedLSMAT Least Squares Medial Axis Transform

22 citations · 55 across the 22 of their papers we have counts for

collaborators

27 papers

cs.CV2026

RoboCloth: A Large-Scale Real Cloth Material Dataset for Neural Reflectance Reconstruction

Zhen Li, Haoran Qin, Francesco Di Sario +2

We present RoboCloth, a dataset of 500 real cloth materials captured under flexible, calibrated camera and lighting configurations, where both are robotically controlled during acq…

cs.CV2026

Semantic Foam: Unifying Spatial and Semantic Scene Decomposition

Amr Sharafeldin, Shrisudhan Govindarajan, Thomas Walker +4

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 app…

cs.GR2026

Power Foam: Unifying Real-Time Differentiable Ray Tracing and Rasterization

Shrisudhan Govindarajan, Daniel Rebain, Dor Verbin +3

We introduce a differentiable 3D representation that unifies the ray tracing capabilities of foam-based ray tracing with the efficiency of modern rasterization pipelines. While pri…

cs.CV2026

FullCircle: Effortless 3D Reconstruction from Casual 360 Captures

Yalda Foroutan, Ipek Oztas, Daniel Rebain +4

Radiance fields have emerged as powerful tools for 3D scene reconstruction. However, casual capture remains challenging due to the narrow field of view of perspective cameras, whic…

cs.CV2025

Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries

Victor Rong, Jan Held, Victor Chu +5

Though Gaussian splatting has achieved impressive results in novel view synthesis, it requires millions of primitives to model highly textured scenes, even when the geometry of the…

cs.CV2025

MeshSplatting: Differentiable Rendering with Opaque Meshes

Jan Held, Sanghyun Son, Renaud Vandeghen +7

Primitive-based splatting methods like 3D Gaussian Splatting have revolutionized novel view synthesis with real-time rendering. However, their point-based representations remain in…