activity
20222025
most citedCategory-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.GR2025

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

Georgios Kouros, Minye Wu, Tinne Tuytelaars

Accurate reconstruction and relighting of glossy objects remains a longstanding challenge, as object shape, material properties, and illumination are inherently difficult to disent…

cs.CV2025

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

Georgios Kouros, Minye Wu, Tinne Tuytelaars

In this work, we address specular appearance in inverse rendering using 2D Gaussian splatting with deferred shading and argue for a refinement stage to improve specular detail, the…

cs.CV2024

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

Georgios Kouros, Minye Wu, Sushruth Nagesh +2

Inverse rendering aims to reconstruct the scene properties of objects solely from multiview images. However, it is an ill-posed problem prone to producing ambiguous estimations dev…

cs.CV2023

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

Minye Wu, Zehao Wang, Georgios Kouros +1

Neural Radiance Fields (NeRF) revolutionize the realm of visual media by providing photorealistic Free-Viewpoint Video (FVV) experiences, offering viewers unparalleled immersion an…

cs.CV2023

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

Georgios Kouros, Minye Wu, Shubham Shrivastava +3

Neural Radiance Fields (NeRFs) have revolutionized the field of novel view synthesis, demonstrating remarkable performance. However, the modeling and rendering of reflective object…

cs.CV2022★ 1 cited

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

Georgios Kouros, Shubham Shrivastava, Cédric Picron +3

Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivi…