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🌐 Jekyll is a blog-aware static site generator in Ruby
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
[Information Fusion (Vol.103, Mar. '24)] Boosting Image Matting with Pretrained Plain Vision Transformers
Rembg is a tool to remove images background
🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features, from basic tools like crop and draw to filters, OCR, and a wide range of image processing options
Robust Speech Recognition via Large-Scale Weak Supervision
Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.
Real-Time High-Resolution Background Matting
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
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A collaboration friendly studio for NeRFs
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Evaluate the quality of foreground estimation methods
This is a collective repository for all 3DGS related progresses in research and industry world
Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.
Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
Official repository of HUGS: Human Gaussian Splats (CVPR 2024)
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
A curated list of papers & resources linked to 3D reconstruction from images.