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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.CV2026

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.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…

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…