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Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes.

, , , , , , , , and . CVPR, page 11358-11367. Computer Vision Foundation / IEEE, (2021)

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3D Shape Generation via Functionality-Aware Model Evolution., , , , , , , , , and 1 other author(s). CoRR, (2020)GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images., , , , , , , , and . NeurIPS, (2022)Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting., , , , and . CoRR, (2021)DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort., , , , , , , and . CVPR, page 10145-10155. Computer Vision Foundation / IEEE, (2021)A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations., , , , , , and . IEEE Trans. Vis. Comput. Graph., 25 (6): 2217-2227 (2019)Fast Computing Adaptively Sampled Distance Field on GPU., , and . PG (Short Papers), Eurographics Association, (2011)Flexible Isosurface Extraction for Gradient-Based Mesh Optimization., , , , , , , , , and . ACM Trans. Graph., 42 (4): 37:1-37:16 (August 2023)TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models., , , , and . ICCV, page 4146-4158. IEEE, (2023)MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation., , , , , and . ECCV (2), volume 13662 of Lecture Notes in Computer Science, page 550-567. Springer, (2022)P2P-NET: bidirectional point displacement net for shape transform., , , and . ACM Trans. Graph., 37 (4): 152 (2018)