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From One to More: Contextual Part Latents for 3D Generation

arXiv — cs.CV•Friday, October 31, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
Recent advancements in 3D generation technology are making waves, moving from traditional 2D rendering to innovative 3D-native latent diffusion frameworks. This shift is significant because it leverages geometric priors from real-world data, enhancing the quality of generated models. However, challenges remain, such as the limitations of single-latent representations that struggle with complex geometries and the need for better part independence in coding. Addressing these issues could lead to even more detailed and accurate 3D models, which is crucial for various applications in gaming, virtual reality, and design.
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