Stefano Esposito — accepted AI-conference papers

2025

Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes

Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz +4

CVPR 2025poster

High-quality view synthesis relies on volume rendering, splatting, or surface rendering. While surface rendering is typically the fastest, it struggles to accurately model fuzzy geometry like hair. In turn, alpha-blending techniques excel at representing fuzzy materials but require an unbounded numb…

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2024

LaRa: Efficient Large-Baseline Radiance Fields

Anpei Chen*, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger

ECCV 2024poster

"Radiance field methods have achieved photorealistic novel view synthesis and geometry reconstruction. But they are mostly applied in per-scene optimization or small-baseline settings. While several recent works investigate feed-forward reconstruction with large baselines by utilizing transformers,…

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