I am a PhD candidate at the PSI Lab of KU Leuven, Belgium, supervised by Prof. Tinne Tuytelaars and Dr. Minye Wu. My research focuses on neural rendering and inverse graphics, with an emphasis on physically grounded inverse rendering for challenging reflectance, especially glossy and specular appearance. I work at the intersection of computer vision, computer graphics, and optimization, developing practical pipelines that translate research outputs into usable assets for downstream graphics and AR/VR workflows.

Before joining PSI, I obtained my Diploma (integrated Bachelor’s and Master’s) in Electrical and Computer Engineering from Aristotle University of Thessaloniki (AuTH), Greece, and an Advanced Master of Artificial Intelligence from KU Leuven. During my undergraduate studies, I joined Pandora Robotics Team as a volunteer research assistant working on software-hardware integration for autonomous search and rescue robotics operations. After my undergraduate studies, I joined ITI, CERTH in Thessaloniki, Greece, as a research assistant for Horizon2020 project BADGER and later I moved to Belgium to work as an Industry 4.0 consultant at Kapernikov in Brussels.

Projects

Spec-Gloss Surfels and Normal-Diffuse Priors for Relightable Glossy Objects

SpecGloss-GS effectively decouples geometry, materials, and illumination for more accurate relighting and scene editing of glossy objects.

Georgios Kouros, Minye Wu, Tinne Tuytelaars

WACV 2026

RGS-DR: Deferred Reflections and Residual Shading in 2D Gaussian Splatting

RGS-DR uses 2DGS with deferred shading, split-sum IBL plus an image-space residual to sharpen speculars and enable relighting and scene editing.

Georgios Kouros, Minye Wu, Tinne Tuytelaars

3DV 2026

TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video

TeTriRF compresses free-viewpoint dynamic scenes by codec-friendly tri-plane voxel representations.

Minye Wu, Zehao Wang, Georgios Kouros, Tinne Tuytelaars

CVPR 2024

Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis

A study of the inherent ambiguity of neural inverse rendering and potential research directions.

Georgios Kouros, Minye Wu, Sushruth Nagesh, Xianling Zhang, Tinne Tuytelaars

CVPR 2024 NRI Workshop

Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction

Improves the quality-efficiency trade-off for neural rendering of glossy objects by combining an efficient voxelized representation with a reflection direction reparameterization.

Georgios Kouros, Minye Wu, Shubham Shrivastava, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars

ICCV 2023 TRICKY Workshop

Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation

Category-level pose estimation trained with contrastive RGB-normal features and augmented with occlusion and bounding box augmentation for robustness against occluders and bounding box noise.

Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars

BMVC 2022

A full list of my publications can be found in my google scholar profile.