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Nanjing University of Aeronautics and Astronautics
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Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
想要从零开始训练一个中文的mini大语言模型,可以进行基本的对话,模型大小根据手头的机器决定
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
A batched offline inference oriented version of segment-anything
Generative Models by Stability AI
Grounded Segment Anything: From Objects to Parts
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
Language-Driven Semantic Segmentation
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
🧊 Show 3D visualizations from PyVista in Streamlit
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Template repository for creating and registering new methods in NerfStudio.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
[AAAI'24] Official PyTorch implementation of FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
MobileSAM already integrated into Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds