activity
20192026
most citedLSMAT Least Squares Medial Axis Transform

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

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Showing 2025Show all

7 papers · 1 filter

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…

cs.CV2025

Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere

Francesco Di Sario, Daniel Rebain, Dor Verbin +2

Radiance field methods (e.g. 3D Gaussian Splatting) have emerged as a powerful paradigm for novel view synthesis, yet their appearance modeling often relies on Spherical Harmonics…

cs.CV2025

Triangle Splatting+: Differentiable Rendering with Opaque Triangles

Jan Held, Renaud Vandeghen, Sanghyun Son +6

Reconstructing 3D scenes and synthesizing novel views has seen rapid progress in recent years. Neural Radiance Fields demonstrated that continuous volumetric radiance fields can ac…

cs.CV2025

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

Maria Taktasheva, Lily Goli, Alessandro Fiorini +3

Recent advances in radiance fields and novel view synthesis enable creation of realistic digital twins from photographs. However, current methods struggle with flat, texture-less s…

cs.CV2025

NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization

Zhen Li, Weiwei Sun, Shrisudhan Govindarajan +4

We present a novel approach to large-scale point cloud surface reconstruction by developing an efficient framework that converts an irregular point cloud into a signed distance fie…