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https://huggingface.co/papers/2511.16301
Paper page - Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
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paperupsampleanythingsimplehard
https://arxiv.org/abs/2410.17001
[2410.17001] Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Abstract page for arXiv paper 2410.17001: Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
joint pointcloudupsamplingcleaningoctree
https://www.mdpi.com/1424-8220/21/18/6177
Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation
Segmentation of retinal vessels is a critical step for the diagnosis of some fundus diseases. Methods: To further enhance the performance of vessel...
connection networkgatedskipadaptiveupsampling
https://arxiv.org/abs/2405.04889v2
[2405.04889v2] Fast LiDAR Upsampling using Conditional Diffusion Models
Abstract page for arXiv paper 2405.04889v2: Fast LiDAR Upsampling using Conditional Diffusion Models
diffusion modelsfastlidarupsamplingusing
https://deepai.org/publication/data-driven-upsampling-of-point-clouds
Data-driven Upsampling of Point Clouds | DeepAI
07/08/18 - High quality upsampling of sparse 3D point clouds is critically useful for a wide range of geometric operations such as reconstruc...
data drivenpoint cloudsupsamplingdeepai
https://github.com/adobe-research/SuperGaussian
GitHub - adobe-research/SuperGaussian: ECCV 2024 SuperGaussian for generic 3D upsampling
ECCV 2024 SuperGaussian for generic 3D upsampling. Contribute to adobe-research/SuperGaussian development by creating an account on GitHub.
githubadoberesearcheccvgeneric
https://www.arxiv.org/abs/1503.00040
[1503.00040] Efficient Upsampling of Natural Images
Abstract page for arXiv paper 1503.00040: Efficient Upsampling of Natural Images
efficientupsamplingnaturalimages