Gijs Fiten

About

I'm a PhD researcher at KU Leuven working on generative AI for extended reality, advised by Prof. Maria Torres Vega. My focus is Gaussian splatting, neural rendering, and 3D scene understanding for multi-user XR — I care most about building systems that actually run in real time on real hardware, not just about the numbers in a paper.

Before and alongside the PhD, I've worked across the stack from low-level rendering to the ML models that drive it, and I bring that engineer-first mindset to research: prototype fast, measure honestly, and ship things other people can build on.

Publications

First author

1. GSI-GEN: Gaussian Splats for Resolution Invariant Image Generation

   Gijs Fiten, Jit Chatterjee, Maria Torres Vega

   Under review, WACV 2027

2. Edge-XReal: Distributed Holistic Scene Understanding for Edge XR Devices

   Gijs Fiten, Jit Chatterjee, Maria Torres Vega

   Under review, Springer Multimedia Systems

3. On the Impact of the Embodiment of AI-agents on Active Engagement in Virtual Reality Experiences

   Gijs Fiten, Reaven Jansen, Shubham Selleri, Jit Chatterjee, Javad Sameri, Maria Torres Vega

   ACM ISIM '26 (proceedings forthcoming)

4. Redirected Walking for Multi-User eXtended Reality Experiences with Confined Physical Spaces

   Gijs Fiten, Jit Chatterjee, Kobe Vanhaeren, Mattis Martens, Maria Torres Vega

   Best Student Paper AwardQoMEX 2025

   Paper

Co-author

1. Pose-Aware Multi-View Diffusion for Consistent 3D Texture Generation from a Single RGB Image

   Jierong Wen, Jit Chatterjee, Gijs Fiten, Maria Torres Vega

   GRIVAPP 2026

   Paper

2. GGD-Tex: Geometry-Guided Diffusion for 3D Texture Synthesis from Single RGB Image

   Jit Chatterjee, Gijs Fiten, Maria Torres Vega

   VISAPP 2026

   Paper

Projects

• GSI-GEN

  TODO: one-line description of resolution-invariant image generation with Gaussian splats.

  • Gaussian Splatting
  • Image Generation

• Edge-XReal

  TODO: one-line description of distributed scene understanding for edge XR devices.

  • XR
  • Scene Understanding
  • Edge Computing

• TODO: side project name

  TODO: one-line description.

  • TODO

CV

Download CV (PDF)