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[24.08.09 / ICCV23'] Efficient 3D Semantic Segmentation with Superpoint Transformer

https://openaccess.thecvf.com/content/ICCV2023/papers/Robert_Efficient_3D_Semantic_Segmentation_with_Superpoint_Transformer_ICCV_2023_paper.pdfAbstract We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes. Our method incorporates a fast algorithm to partition point clouds into a hierarchical superpoint structure, which makes ..

[24.08.02 / ICCV23'] Distribution-Aligned Diffusion for Human Mesh Recovery

https://openaccess.thecvf.com/content/ICCV2023/papers/Foo_Distribution-Aligned_Diffusion_for_Human_Mesh_Recovery_ICCV_2023_paper.pdfAbstractRecovering a 3D human mesh from a single RGB image is a challenging task due to depth ambiguity and self-occlusion, resulting in a high degree of uncertainty. Meanwhile, diffusion models have recently seen much success in generating high-quality outputs by p..

[24.08.01 / CVPR24'] GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

https://openaccess.thecvf.com/content/CVPR2024/papers/Li_GP-NeRF_Generalized_Perception_NeRF_for_Context-Aware_3D_Scene_Understanding_CVPR_2024_paper.pdf AbstractApplying Neural Radiance Fields (NeRF) to downstream perception tasks for scene understanding and representation is becoming increasingly popular. Most existing methods treat semantic prediction as an additional rendering task, i.e., th..