ABHISHEK PERI's repositories
mono-depth-diffusion
monocular depth estimation using diffusion models
6D-object-pose-estimation
Object pose estimation using ICP on 3D point clouds
3D-Machine-Learning
A resource repository for 3D machine learning
abhishek-peri
Config files for my GitHub profile.
abhishekperi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Ant-Media-Server
Ant Media Server is a streaming engine software that provides adaptive, ultra low latency streaming by using WebRTC technology with ~0.5 seconds latency. Ant Media Server is highly scalable both horizontally and vertically. It can run on-premise or on-cloud.
depth_wild
depth from the wild repo clone
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.
DenseMutualAttention
[WACV2023] Interacting Hand-Object Pose Estimation via Dense Mutual Attention
DiffusionDepth
PyTorch Implementation of introducing diffusion approach to 3D depth perception
fastcampus_slam_codes
Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series
Frido
Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
gsplat.js
JavaScript Gaussian Splatting library.
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
qd-3dt
Official implementation of Monocular Quasi-Dense 3D Object Tracking
rerun
Log images, point clouds, etc, and visualize them effortlessly. Built in Rust using egui
slambook-en
The English version of 14 lectures on visual SLAM.
Smart-City-Sample
The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
torch-fidelity
High-fidelity performance metrics for generative models in PyTorch