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arXiv Computer Vision By Zhihao Tang, Youjia Zhang, Mingbo Zhao, Wei Yang

T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals

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T$^2$-Splat is a novel triangle‑based splatting method that separates topology adaptation from appearance refinement. It starts with Safe Restricted Delaunay Triangulation to set initial mesh connectivity, then uses Dynamic Topology Evolution to adjust triangle allocation via edge collapse and vertex split operations. Finally, residual per‑face Mip‑textures refine appearance on the fixed mesh with scale‑adaptive filtering, yielding competitive results on datasets such as Mip‑NeRF 360, Tanks & Temples, and DTU while allowing flexible mesh compression. "whyItMatters":"The approach achieves higher PSNR (0.71 dB over MeshSplatting on Mip‑NeRF 360) and supports extreme mesh compression, enabling efficient novel view synthesis with compact meshes."

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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