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From the 1 of 15 linked papers with an AI index.

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20242026
most citedEditable Physically-based Reflections in Raytraced Gaussian Radiance Fields

2 citations · 2 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency

Andreas Meuleman, Linus Franke, Boris Zhestiankin +2

The paper presents a method for instantly reconstructing 3D scenes from unordered image collections using 3D Gaussian splatting, achieving global consistency through fast matching,…

cs.CV2025

An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenes

Alban Gauthier, Valentin Deschaintre, Alexandre Lanvin +3

Digital content creation is experiencing a profound change with the advent of deep generative models. For texturing, conditional image generators now allow the synthesis of realist…

cs.CV2025

Content-Aware Texturing for Gaussian Splatting

Panagiotis Papantonakis, Georgios Kopanas, Fredo Durand +1

Gaussian Splatting has become the method of choice for 3D reconstruction and real-time rendering of captured real scenes. However, fine appearance details need to be represented as…

cs.CV2025

MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction

Antoine Guédon, Diego Gomez, Nissim Maruani +3

While recent advances in Gaussian Splatting have enabled fast reconstruction of high-quality 3D scenes from images, extracting accurate surface meshes remains a challenge. Current…

cs.CV2025

On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images

Andreas Meuleman, Ishaan Shah, Alexandre Lanvin +2

Radiance field methods such as 3D Gaussian Splatting (3DGS) allow easy reconstruction from photos, enabling free-viewpoint navigation. Nonetheless, pose estimation using Structure…

cs.CV2024

A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis

Yohan Poirier-Ginter, Alban Gauthier, Julien Philip +2

Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scen…