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Subhransu Sekhar Bhattacharjee (Rudra)'s Projects

autograd icon autograd

Efficiently computes derivatives of numpy code.

cmsis_5 icon cmsis_5

CMSIS Version 5 Development Repository

depth-anything icon depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

devportfolio icon devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

dfm icon dfm

Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

distdepth icon distdepth

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

dpt icon dpt

Dense Prediction Transformers

dust3r icon dust3r

DUSt3R: Geometric 3D Vision Made Easy

epic-filters icon epic-filters

This repo provides some filters for NeRF data preparation for the EPIC Kitchens Dataset. We will be releasing the dataset soon.

grounded-segment-anything icon grounded-segment-anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

image-randomiser icon image-randomiser

This is an image sampling algorithm that samples a subset of images to optimize sample diversity by minimising the JS divergence between sample distributiuon and source distribution. We employ PyTorch to implement the image processing pipeline and can utilize graphical processing for acceleration if available.

lazy_photographer icon lazy_photographer

What would it take for a robot to see everything, the art gallery problem solved for autonomous systems in SE(2)

mangroves icon mangroves

A Dynamic Data Management system for Advanced AI Applications

pixelsynth icon pixelsynth

Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"

roomie icon roomie

An embodied agent which tags which room you are in from the objects in the image.

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