Thomas Walker

PhD Candidate in 3D Vision and Neural Graphics
University of Edinburgh
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About Me

Hello! I am a final year Ph.D. candidate at the University of Edinburgh, researcher at the Generative AI Laboratory (GAIL), and Student Researcher at Google DeepMind. My research focuses on generative world models, 3D reconstruction, and differentiable rendering. I am particularly interested in persistent memory, viewpoint consistency and causality in world models. I have a strong mathematical background and first-author publications at leading computer vision and machine learning venues.

Selected Publications

• PERSIST: World Models with Persistent 3D State
  Thomas Walker*, Samuel Garcin*, Steven McDonagh, Tim Pearce, Hakan Bilen, Kaixin Wang, Tianyu He, Jiang Bian. ICML, 2026. [Website]
  *Equal Contribution
• 
  Semantic Foam: Unifying Spatial and Semantic Scene Decomposition
  Amr Sharafeldin, Shrisudhan Govindarajan, Thomas Walker, Aryan Mikaeili, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi. CVPR, 2026. ⭐ Highlight ⭐ [Website]
• DynaSlice: Multi-Class 4D Reconstruction from Cross Sections
  Thomas Walker, João Paulo Silva do Monte Lima, Diana Aldana Moreno, Oisín Nolan, Salvatore Esposito, Tiago Novello. 2026. [Preprint]
• 
  CrossSDF: Reconstruction Of Thin Structures From Cross Sections
  Thomas Walker*, Salvatore Esposito*, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li, Oisin Mac Aodha. CVPR, 2025. [Arxiv]
  *Equal Contribution
• 
  Spatially Adaptive Hash Encodings For Neural Surface Reconstruction
  Thomas Walker, Octave Mariotti, Amir Vaxman, Hakan Bilen. WACV, 2025. [Arxiv]
• Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
  Thomas Walker, Octave Mariotti, Amir Vaxman, Hakan Bilen. NeurIPS NeurReps Workshop, 2023. [Arxiv]
• 
  Spherical Feature Pyramid Networks
  Thomas Walker, Varun Anand, Pavlos Andreadis. arXiv, 2023. [Arxiv]