PolyDiff is the first diffusion-based approach capable of directly generating realistic and diverse 3D polygonal meshes. Unlike methods that use alternate 3D shape representations, PolyDiff operates natively on the polygonal…
Continue readingThis research introduces a 3D volumetric encoder for efficient and flexible text-to-3D generation. A lightweight network is developed to acquire feature volumes from multi-view images, which are then trained on…
Continue readingThis article discusses the development of SPiC E, a neural network that adds structural guidance to 3D diffusion models. The models can now train on million-scale 3D datasets, producing high-quality…
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