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Track and predict the energy consumption and carbon footprint of training deep learning models.

Language:PythonMIT37100

Code for Monocular Visual-Inertial Depth Estimation (ICRA 2023)

Language:PythonMIT16200

A Robust and Versatile Monocular Visual-Inertial State Estimator

Language:C++GPL-3.0495700

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

Language:C++BSD-2-Clause154000

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

Language:PythonMIT21500

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Language:PythonMIT290400

Official code repository for the paper: "Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography"

Language:PythonMIT4700

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

Language:PythonMIT117300

[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

Language:PythonAGPL-3.022500

Dense Prediction Transformers

Language:PythonMIT197000

High Quality Monocular Depth Estimation via Transfer Learning

Language:Jupyter NotebookGPL-3.0158100

Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

Language:PythonGPL-3.07800