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pro vyhledávání: '"Dell'Eva, Anthony"'
Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings. Existing approaches solve th
Externí odkaz:
http://arxiv.org/abs/2312.17561
Generating dense point clouds from sparse raw data benefits downstream 3D understanding tasks, but existing models are limited to a fixed upsampling ratio or to a short range of integer values. In this paper, we present APU-SMOG, a Transformer-based
Externí odkaz:
http://arxiv.org/abs/2208.05274
Image-to-image (i2i) networks struggle to capture local changes because they do not affect the global scene structure. For example, translating from highway scenes to offroad, i2i networks easily focus on global color features but ignore obvious trai
Externí odkaz:
http://arxiv.org/abs/2109.04468
Navigating through intersections is one of the main challenging tasks for an autonomous vehicle. However, for the majority of intersections regulated by traffic lights, the problem could be solved by a simple rule-based method in which the autonomous
Externí odkaz:
http://arxiv.org/abs/2104.13617