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Beijing Institute of Technology
- Hang Zhou,China
- www.xinliang-zhong.com
Stars
[ECCV 2024] Official implementation of the paper "GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views"
FreeVS: Generative View Synthesis on Free Driving Trajectory
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
[NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
3D Gaussian Splatting Papers Relating to Large-Scale Scene.
LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)
Easy NeRF synthetic dataset creation within Blender
Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
A 3DGS framework for omni urban scene reconstruction and simulation.
Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)
[Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models
腾讯自动驾驶仿真系统 TAD Sim (Tencent Autonomous Driving Simulation) 单机版是腾讯自动驾驶以建立更加安全和高效的自动驾驶测试工具为目标, 为自动驾驶系统研发和验证而量身定做的跨平台分布式系统.
Official inference repo for FLUX.1 models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
使用OpenCV+onnxruntime部署中文clip做以文搜图,给出一句话来描述想要的图片,就能从图库中搜出来符合要求的图片。包含C++和Python两个版本的程序
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Tightly coupled lidar-visual-inertial slam using the fuse framework
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T