collaborators

11 papers

cs.CV2026

Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterization

David Charatan, Daniel Xu, Richard Szeliski +2

Differentiable rendering has emerged as a powerful approach for 3D reconstruction and novel view synthesis. State-of-the-art differentiable rendering methods combine a variety of c…

cs.GR2026

Lighting-Consistent Object Transfer Across Radiance Fields

Nicolás Violante, George Kopanas, Linus Franke +2

3D Gaussian Splatting (3DGS) is widely used to capture and render real scenes. Compositing objects from one capture into another has applications in many domains, such as VFX, arch…

cs.CV2026

Eulerian Gaussian Splatting using Hashed Probability Pyramids

Mia Gaia Polansky, George Kopanas, Stephan Garbin +2

We introduce a probabilistic splat-based radiance field framework that retains the fast rasterization and test-time efficiency of 3D Gaussian Splatting (3DGS) while replacing heuri…

cs.CV2026

Generative View Stitching

Chonghyuk Song, Michal Stary, Boyuan Chen +2

Autoregressive video diffusion models are capable of long rollouts that are stable and consistent with history, but they are unable to guide the current generation with conditionin…

cs.CV2026

Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents

Laura Fink, Linus Franke, George Kopanas +2

We propose a feed-forward method for dense Signed Distance Field (SDF) regression from unstructured image collections in less than three seconds, without camera calibration or post…

cs.GR2025

Radiance Meshes for Volumetric Reconstruction

Alexander Mai, Trevor Hedstrom, George Kopanas +3

We introduce radiance meshes, a technique for representing radiance fields with constant density tetrahedral cells produced with a Delaunay tetrahedralization. Unlike a Voronoi dia…