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Auteur principal: Ebert, Dylan
Format: Preprint
Publié: 2026
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Accès en ligne:https://arxiv.org/abs/2603.14587
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author Ebert, Dylan
author_facet Ebert, Dylan
contents Rendering 3D scenes as pixel art requires that discrete pixels remain stable as the camera moves. Existing methods snap the camera to a grid. Under orthographic projection, this works: every pixel shifts by the same amount, and a single snap corrects all of them. Perspective breaks this. Pixels at different depths drift at different rates, and no single snap corrects all depths. Texel splatting avoids this entirely. Scene geometry is rendered into a cubemap from a fixed point in the world, and each texel is splatted to the screen as a world-space quad. Cubemap indexing gives rotation invariance. Grid-snapping the origin gives translation invariance. The primary limitation is that a fixed origin cannot see all geometry; disocclusion at probe boundaries remains an open tradeoff.
format Preprint
id arxiv_https___arxiv_org_abs_2603_14587
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Texel Splatting: Perspective-Stable 3D Pixel Art
Ebert, Dylan
Computer Vision and Pattern Recognition
Rendering 3D scenes as pixel art requires that discrete pixels remain stable as the camera moves. Existing methods snap the camera to a grid. Under orthographic projection, this works: every pixel shifts by the same amount, and a single snap corrects all of them. Perspective breaks this. Pixels at different depths drift at different rates, and no single snap corrects all depths. Texel splatting avoids this entirely. Scene geometry is rendered into a cubemap from a fixed point in the world, and each texel is splatted to the screen as a world-space quad. Cubemap indexing gives rotation invariance. Grid-snapping the origin gives translation invariance. The primary limitation is that a fixed origin cannot see all geometry; disocclusion at probe boundaries remains an open tradeoff.
title Texel Splatting: Perspective-Stable 3D Pixel Art
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2603.14587