Stanley Obumneme Dukor (stanleydukor)

stanleydukor

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Company:Retina-AI

Location:BC, Canada

Home Page:www.stanleydukor.com

Twitter:@stanleydukor

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Stanley Obumneme Dukor's repositories

bayesian-matting

Python implementation of Bayesian Matting from Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001

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bokeh-react-app

Generate realistic bokeh effect on images using depth maps

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canon_cr3

Describing the Canon CR3 fileformat from Canon M50 / EOS R / SX70 HS / EOS RP...

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clap-detector

Clap detection module for node js

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closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

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gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

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Image-formation-and-camera-calibration

A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example

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machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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Minimal-NeRF

A minimal re-implementation of Neural Radiance Fields (NeRF)

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mp4-h264-re-encode

Pure re-encoding of an mp4-h264 video file with the web APIs as well as in-depth description of how it works.

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MVSFormer

Codes of MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth

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nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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nerf2mesh

[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

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object_detection_with_transformer

Object Detection with Transformers : DETR, Conditional DETR, Deformable DETR, Dynamic Head

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pbrt-v3

Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.

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pykan

Kolmogorov Arnold Networks

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style-transfer

Pytorch Implementation of Neural Style Transfer

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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Swin-Unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

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TensoRF

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

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torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

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transdeeplab

TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation

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TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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video-transcriber

Get audio text from video

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VToonify

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

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web-stable-diffusion

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

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