Stars
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
[ECCV 2024] Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
Seamless operability between C++11 and Python
[CVPR 2021] Self-supervised depth estimation from short sequences
[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".
Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
iSLAM: Imperative SLAM (RA-L 2024) is a novel Visual-Inertial SLAM using Self-supervised Learning
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
A latent text-to-image diffusion model
Training library for local feature detection and matching
Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
A toolbox for mapping and localization with line features.
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
fabio-sim / LightGlue-ONNX
Forked from cvg/LightGlueONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
✨ Local and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
The official repository of our CVPR2023 paper "A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization".
自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.