Krishna Murthy

nerf-pytorch. A PyTorch re-implementation of Neural Radiance Fields

chamferdist. Pytorch package to compute Chamfer distance between point sets (pointclouds).

DeepVO. Implementation of DeepVO (ICRA 2017)

dvo_python. Coding dense visual odometry in a little more than a night (yikes)!

ComputerVisionReadingList. My reading list for topics in Computer Vision

ICRA2017. Code release for the ICRA 2017 paper "Reconstructing vehicles from a single image: shape priors for road scene understanding"

sniffle-workshop. An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)

lseg-minimal. Minimal version of LSeg, based on https://github.com/isl-org/lang-seg

ENet-ScanNet. ENet for 2D semantic segmentation in ScanNet

CarKeypoints. Inference code for keypoint detection on cars

CTCNet-release. [DEPRECATED] Code release for the CVPR 2018 workshop paper titled "Geometric consistency for self-supervised end-to-end visual odometry"

ToySfM. Simple tutorial scripts for learning Structure from Motion by implementation

DeepLearningResources. [DEPRECATED] My collection of Deep Learning Resources

OptimizationReadingList.

MapLiteSeg-Devel. A w"hacky" road-segmentation network

torch-self-intersection. A "minimal" package to compute self-intersections among various faces within a triangle-mesh.

Depth-Anything. Tiny tweak to depth-anything for Colab

learn-cuda. A collection of scripts I wrote when learning CUDA C++ programming

stacked-hourglass. Our modification of the stacked-hourglass architecture for car keypoint localization

krrish94.github.io. My homepage

ASPnP_IRLS. MATLAB

bandu_planning. Python

dino-minimal. Python

RLReadingList. Reinforcement Learning Reading List

shapeAdjustment. Code release for the paper "Reconstructing Vehicles from a Single Image: Shape Priors for Road Scene Understanding" [yet-to-appear]

ssc. Forked from sscnet https://github.com/shurans/sscnet

kaolin-bleed. A PyTorch Library for Accelerating 3D Deep Learning Research

gaussian-splatting. My fork of gaussian splatting + expts

MotionAveraging. Implementation of variants of motion averaging methods.

PyTorch-Encoding. Fork of PyTorch-Encoding -- for a bugfix

caffe-keypoint. C++

SpinUp. Stuff I wrote when following the "Spinning Up in Deep RL" series by OpenAI

ViewpointsAndKeypoints. My experiments with Shubham Tulsiani's work - Viewpoints and Keypoints [CVPR 2015]

nerf-pytorch-1. A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

commExplore. An implementation of the paper "Multi-Robot Exploration Under the Constraints of Wireless Networking" in Python

ScanComplete. [CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans