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pro vyhledávání: '"Szymanowicz, Stanislaw"'
Autor:
Szymanowicz, Stanislaw, Insafutdinov, Eldar, Zheng, Chuanxia, Campbell, Dylan, Henriques, João F., Rupprecht, Christian, Vedaldi, Andrea
In this paper, we propose Flash3D, a method for scene reconstruction and novel view synthesis from a single image which is both very generalisable and efficient. For generalisability, we start from a "foundation" model for monocular depth estimation
Externí odkaz:
http://arxiv.org/abs/2406.04343
We introduce the \method, an ultra-efficient approach for monocular 3D object reconstruction. Splatter Image is based on Gaussian Splatting, which allows fast and high-quality reconstruction of 3D scenes from multiple images. We apply Gaussian Splatt
Externí odkaz:
http://arxiv.org/abs/2312.13150
We present Viewset Diffusion, a diffusion-based generator that outputs 3D objects while only using multi-view 2D data for supervision. We note that there exists a one-to-one mapping between viewsets, i.e., collections of several 2D views of an object
Externí odkaz:
http://arxiv.org/abs/2306.07881
Delivering immersive, 3D experiences for human communication requires a method to obtain 360 degree photo-realistic avatars of humans. To make these experiences accessible to all, only commodity hardware, like mobile phone cameras, should be necessar
Externí odkaz:
http://arxiv.org/abs/2210.11594
Autor:
Garbin, Stephan J., Kowalski, Marek, Estellers, Virginia, Szymanowicz, Stanislaw, Rezaeifar, Shideh, Shen, Jingjing, Johnson, Matthew, Valentin, Julien
The recent increase in popularity of volumetric representations for scene reconstruction and novel view synthesis has put renewed focus on animating volumetric content at high visual quality and in real-time. While implicit deformation methods based
Externí odkaz:
http://arxiv.org/abs/2208.00949
Publikováno v:
Winter Conference on Applications of Computer Vision 2022
The aim of this work is to detect and automatically generate high-level explanations of anomalous events in video. Understanding the cause of an anomalous event is crucial as the required response is dependant on its nature and severity. Recent works
Externí odkaz:
http://arxiv.org/abs/2112.05585
Our objective is to detect anomalies in video while also automatically explaining the reason behind the detector's response. In a practical sense, explainability is crucial for this task as the required response to an anomaly depends on its nature an
Externí odkaz:
http://arxiv.org/abs/2106.08856
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Akademický článek
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