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Iliyan Georgiev

5 accepted papers

2026

Stochastic Ray Tracing for the Reconstruction of 3D Gaussian Splatting

CVPR 2026

Ray-tracing-based 3D Gaussian splatting (3DGS) enjoys the generality of supporting non-pinhole camera models and relightable formulations. However, they are usually lacking in performance, partially due to the need for depth-based sorting of all intersecting Gaussians along the traced rays.In this p

Cited by 0SourcecodeScholar
2026

UniLight: A Unified Representation for Lighting

CVPR 2026

Lighting has a strong influence on visual appearance, yet understanding and representing lighting in images remains notoriously difficult. Various lighting representations exist, such as environment maps, irradiance, spherical harmonics, or text, but they are incompatible, which limits cross-modal t

Cited by 0SourceScholar
2026

V-RGBX: Video Editing with Accurate Controls over Intrinsic Properties

CVPR 2026

Large-scale video generation models have shown remarkable potential in modeling photorealistic appearance and lighting interactions in real-world scenes. However, a closed-loop framework that jointly understands intrinsic scene properties (e.g., albedo, normal, material, and irradiance), leverages t

Cited by 0SourcecodeScholar
2025

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians

ICCV 2025poster

3D generation has made significant progress, however, it still largely remains at the object-level. Feedforward 3D scene-level generation has been rarely explored due to the lack of models capable of scaling-up latent representation learning on 3D scene-level data. Unlike object-level generative mod…

2024

Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling

CVPR 2024highlight

Novel-view synthesis of specular objects like shiny metals or glossy paints remains a significant challenge. Not only the glossy appearance but also global illumination effects including reflections of other objects in the environment are critical components to faithfully reproduce a scene. In this…