The Learning and Vision Atelier (LAVA)

The Learning and Vision Atelier (LAVA)'s repositories

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

Language:PythonMIT378 9 96

[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution

Language:PythonMIT299 9 15

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

Language:PythonMIT291 12 22

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

Language:Python237 7 28

A Collection of Algorithms and Datasets for Stereo Image Super-Resolution

[ACCV 2018 & TIP 2020] Deep Video Super-resolution using HR Optical Flow Estimation

Language:Python165 5 18

A Collection of Papers and Datasets for Light Field Image Super-Resolution

[CVPR2022] Decoupling Makes Weakly Supervised Local Feature Better

Language:PythonApache-2.0101 5 17

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Language:Python93 7 17

[CVPR 2023] BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration

Language:PythonMIT47 3 13

[CVPR 2022] Learnable Lookup Table for Neural Network Quantization

Language:Python37 3 3