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@kc-ml2Stars
A paper list of recent mamba efforts for low-level vision.
GPU-accelerated iterative bilateral solver for edge-aware refinement.
Code for the paper: "Modular Neural Image Signal Processing". A modular neural ISP with interpretable stages, multi-style rendering, cross-camera generalization, and post-editable re-rendering with...
Reference code for the paper: "Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG." Learnable, invertible raw-to-JPEG pre-processing with parameters stored in the JPEG COM (<64 KB), enabli...
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont...
π‘ GitHub Pages template for personal academic homepage
[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers
[ICML 2025] Official implementation of the paper "Compressed Image Generation with Denoising Diffusion Codebook Models"
Tips for Writing a Research Paper using LaTeX
A comparison tool to aid image/video enhancement research
Download flickr8k, flickr30k image caption datasets
A curated list of resources for using LLMs to develop more competitive grant applications.
Refine high-quality datasets and visual AI models
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A tensor based approach to svd for dimensionality reduction and noise reduction
Machine learning metrics for distributed, scalable PyTorch applications.
Measures and metrics for image2image tasks. PyTorch.
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
π¦ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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Regional-Convolution Neural Network for blink detection based on contouring.
Cascaded Pyramid Network (CPN) based on Keras (Tensorflow backend)
Learning to See in the Dark. CVPR 2018
A set of demo of deploying a Machine Learning Model in production using various methods