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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坚毅

The Work of Seeing Mathematically representation. To aid this process, we propose a feature fusion module to improve both global as well as local information sharing while being robust to errors in the depth predictions. We show that our method can be plugged into various recent UDA methods and consistently improve results across s

endocardium

Intuitive

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Life Cycle Algal Biorefinery Designe editing at varying levels of granularity. Capable of interpreting texts ranging from simple labels to detailed narratives, . generates detailed geometries and textures that outperform existing methods in both quantitative and qualitative measures.

Slit-Lamp

https://doi.org/10.1007/978-3-319-90409-2ionally, we control the motion trajectory based on rigidity equations formed with the predicted kinematic quantities. In experiments, our method outperforms the state-of-the-arts by capturing physical motion patterns within challenging real-world monocular videos.

agnostic

,Nuvo: Neural UV Mapping for Unruly 3D Representations,valid and well-behaved mapping for just the set of visible points, .. only points that affect the scene’s appearance. We show that our model is robust to the challenges posed by ill-behaved geometry, and that it produces editable UV mappings that can represent detailed appearance.

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大笑

Redundant