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HUST
- Wuhan, China
- https://scholar.google.com.hk/citations?user=1GCLBNAAAAAJ&hl=en
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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
MambaOut: Do We Really Need Mamba for Vision?
The official implementation of Depth-aware Volume Attention (DVANet) for stereo matching
[CVPR 2024] Real-Time HDR Video Reconstruction
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
[RA-L 2024] A LiDAR-inertial-visual odometry and mapping system based on the sweep reconstruction method
HUST experiments, reports, and useful tools.
SIGGRAPH Asia 2022: Code for "Efficient Neural Radiance Fields for Interactive Free-viewpoint Video"
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
A novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization ability.
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
[TPAMI 2023] Fast-ACV: Fast Attention Concatenation Volume for Accurate and Real-time Stereo Matching
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
[TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching
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HUST Homeworks(Course design / Reports / Labs / etc. )