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Found 4 papers, 1 papers with code
Informative Rays Selection for Few-Shot Neural Radiance Fields
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.
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
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.
Leveraging Local Domains for Image-to-Image Translation
Our comprehensive evaluation setting shows we are able to generate realistic translations, with minimal priors, and training only on a few images.
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
Navigating through intersections is one of the main challenging tasks for an autonomous vehicle.
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