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VolumeDiffusion: Feed-forward text-to-3D generation with efficient volumetric encoder
Pubblicazione 2025-08-01TestoThis work presents VolumeDiffusion, a novel feed-forward text-to-3D generation framework that directly synthesizes 3D objects from textual descriptions. It bypasses the conventional score distillation loss based or text-to-image-to-3D approaches. To scale up the training data for the diffusion model...
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