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

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書目名稱Computer Vision – ECCV 2024影響因子(影響力)




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書目名稱Computer Vision – ECCV 2024讀者反饋學(xué)科排名

欄桿

dictator

SHRIK

,Freditor: High-Fidelity and?Transferable NeRF Editing by?Frequency Decomposition,D scenes while suffering from blurry results, and fail to capture detailed structures caused by the inconsistency between 2D editings. Our critical insight is that low-frequency components of images are more multiview-consistent after editing compared with their high-frequency parts. Moreover, the a

Engaging

,DoughNet: A Visual Predictive Model for?Topological Manipulation of?Deformable Objects,hese topological changes that a specific action might incur is critical for planning interactions with elastoplastic objects. We present DoughNet, a Transformer-based architecture for handling these challenges, consisting of two components. First, a denoising autoencoder represents deformable object

劇毒

,PAV: Personalized Head Avatar from?Unstructured Video Collection,hat learns a dynamic deformable neural radiance field (NeRF), in particular from a collection of monocular talking face videos of the same character under various appearance and shape changes. Unlike existing head NeRF methods that are limited to modeling such input videos on a per-appearance basis,

劇毒

FACET

DUCE

,MultiDelete for?Multimodal Machine Unlearning,s purging private, inaccurate, or outdated information from trained models without the need for complete re-training. Unlearning within a multimodal setting presents unique challenges due to the complex dependencies between different data modalities and the expensive cost of training on large multim

minion

,Unified Local-Cloud Decision-Making via?Reinforcement Learning,straints to optimize operation across dynamic tasks and contexts. As local computation tends to be restricted, offloading the computation, .., to a remote server, can save local resources while providing access to high-quality predictions from powerful and large models. However, the resulting commun