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NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes., , , , , , , , and . Trans. Mach. Learn. Res., (2022)CvxNet: Learnable Convex Decomposition., , , , , and . CVPR, page 31-41. Computer Vision Foundation / IEEE, (2020)Deep Structured Implicit Functions., , , , and . CoRR, (2019)An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem., and . Algorithmica, 78 (4): 1109-1130 (2017)Multiresolution Deep Implicit Functions for 3D Shape Representation., , , , , , , , , and . ICCV, page 13067-13076. IEEE, (2021)An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem., and . ESA, volume 9294 of Lecture Notes in Computer Science, page 570-581. Springer, (2015)Learning 3D Semantic Segmentation with only 2D Image Supervision., , , , , , , , and . 3DV, page 361-372. IEEE, (2021)Polynomial Neural Fields for Subband Decomposition and Manipulation., , , , , , , and . CoRR, (2023)Text-based editing of talking-head video., , , , , , , , , and . ACM Trans. Graph., 38 (4): 68:1-68:14 (2019)Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation., , , , , , , , and . CVPR, page 12861-12871. IEEE, (2022)