abhishek-peri

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

gsplat.js

JavaScript Gaussian Splatting library.

fastcampus_slam_codes

Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series

gaussian-grouping

[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.

pixtrack

PixTrack is a Computer Vision method for Object Tracking which uses NeRF templates and feature-metric alignment to robustly track the 6DoF pose of a known object.

awesome-3D-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

flopth

A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.

callisto

A command line utility to create kernels in Jupyter from virtual environments.

mono-depth-diffusion

monocular depth estimation using diffusion models

ml-autofocusformer

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

Frido

Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"

torch-fidelity

High-fidelity performance metrics for generative models in PyTorch

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

vMAP

[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM

HOnnotate

CVPR2020. HOnnotate: A method for 3D Annotation of Hand and Object Poses

GEToperant

A General Extraction Tool for Med-PC data. GEToperant will export data from your Med-PC data files. It will produce an Excel file with the data labelled according to any custom profile.

OnePose_Plus_Plus

Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022

lietorch