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SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
Segment Anything in High Quality [NeurIPS 2023]
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Implementation of Tracking Every Thing in the Wild, ECCV 2022
Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
Official PyTorch Implementation of transitional-cGAN
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
Dense Gaussian Processes for Few-Shot Segmentation
Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
Dense matching library based on PyTorch
CVPR 2021 Challenge on Super-Resolution Space
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).
Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation
Official implementation of the paper GLU-Net (CVPR2020-Oral)
Learning the Model Update for Siamese Trackers (ICCV 2019)
free autopilot for sailboats written in python supporting signalk
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The Continuous Convolution Operator Tracker (C-COT).