Name: Innocent Dengkhw Mochahari
Type: User
Company: @cit.ac.in
Bio: CITK' 24 | AI/ML/DL Enthusiast | Computer Vision & Image Processing | Web/App Developer
Location: Udalguri, Assam, India
Blog: https://innomchry.tech/
Innocent Dengkhw Mochahari's Projects
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
A collection of 3D reconstruction papers in the deep learning era.
This is a web project developed for the initial launch of coding club of Central Institute of Technology Kokrajhar
[ECCV'20] Convolutional Occupancy Networks
Learning Continuous Signed Distance Functions for Shape Representation
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Config files for my GitHub profile.
PyTorch implementation of Neural Dual Contouring.
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Open3D: A Modern Library for 3D Data Processing
Open Source Computer Vision Library
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
open Multi-View Stereo reconstruction library
CVPR 2023: PAniC-3D Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
My Portfolio using React
Official website for Robotics Club CIT Kokrajhar
Introducing "Save the Pig" - where an adorable little pig need your help to dodge rockets. When you're happy, the game level increases making the game a little more challenging. But when you feel sad or angry, the game level decreases making it easier to score!
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Welcome to our video conferencing web app powered with computer vision. This project utilizes WebRTC and incorporates image processing techniques to analyze participant behavior.