AI Paper Summaries #129 — Generating 3D Objects via Image Diffusion
Introduction
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This paper summary walks through "An Object is Worth 64x64 Pixels" (Yan et al.), which flattens a 3D object's geometry and appearance into a single 64x64 "object image" so that ordinary 2D image diffusion models, such as Diffusion Transformers, can be used to generate full 3D shapes — sidestepping the usual difficulties of generating irregular polygonal meshes directly.