Showing 601-620 of 2,275 projects
A research project on Fully Convolutional Networks for Semantic Segmentation, a key computer vision technique.
A GAN-based face editing tool that allows users to edit faces using sketches and color inputs.
OpenCV-based Python library for building autonomous RC cars with neural networks.
A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.
Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.
A comprehensive library for hand pose estimation and tracking, useful for human-computer interaction projects.
A comprehensive resource for industrial image anomaly/defect detection papers and datasets.
A high-quality neural network-based 3D generative model for producing realistic images of faces and objects.
An official repository for the 'Mini-Gemini' model, a multi-modal vision-language model for generation tasks.
Grounded SAM 2 is an open-source library for ground and track anything in videos using state-of-the-art AI models.
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
An AI-powered image segmentation library that can be used for a variety of computer vision tasks.
Efficient vision foundation models for high-resolution generation and perception.
The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.
Waymo Open Dataset is a large-scale dataset for autonomous driving research and development.
Official PyTorch implementation of an efficient 3D mesh reconstruction and high-quality rendering technique.
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
This repository provides a Chinese localization extension for the stable-diffusion-webui, an AI image generation tool.
A Python library that uses a webcam to detect and highlight a person's heart rate in real-time.
An implementation of Dreambooth for Stable Diffusion, with a focus on training faces, objects, and styles.
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