Get 3D object shape from one image by using reference-guided novel view enhancement with HiFi-123
Get 3D object shape from one image by using reference-guided novel view enhancement with HiFi-123
HiFi-123: Towards High-fidelity One Image to 3D Content Generation
arXiv paper abstract https://arxiv.org/abs/2310.06744
arXiv PDF paper https://arxiv.org/pdf/2310.06744.pdf
Project page https://drexubery.github.io/HiFi-123
Recent advances in text-to-image diffusion models have enabled 3D generation from a single image.
However, current image-to-3D methods often produce suboptimal results for novel views, with blurred textures and deviations from the reference image
… introduce HiFi-123, a method designed for high-fidelity and multi-view consistent 3D generation.
… First, … propose a reference-guided novel view enhancement technique that substantially reduces the quality gap between synthesized and reference views. Second, … present a novel reference-guided state distillation loss.
When incorporated into the optimization-based image-to-3D pipeline, … method significantly improves 3D generation quality, achieving state-of-the-art performance.
… demonstrate the effectiveness of … approach over existing methods, both qualitatively and quantitatively.
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