Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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,WHAC: World-Grounded Humans and Cameras,ng and ill-posed problem. In this study, we aim to recover expressive parametric human models (., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera. Our approach is founded on two key observations. Firstly,

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,Diff3DETR: Agent-Based Diffusion Model for Semi-supervised 3D Object Detection,oint-wise annotations for point clouds is time-consuming and laborious. Recent developments in semi-supervised methods seek to mitigate this problem by employing a teacher-student framework to generate pseudo-labels for unlabeled point clouds. However, these pseudo-labels frequently suffer from insu

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,PSALM: Pixelwise SegmentAtion with Large Multi-modal Model,being limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effe

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,Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture, aims to generate dynamic topological meshes and corresponding texture maps from videos, which is widely utilized in movies and games for its ability to simulate facial muscle movements and recover dynamic textures in pore-squeezing. The industry often adopts a method involving multi-view stereo and