zhuMingXu's repositories
Awesome-3D-LiDAR-Datasets
This reposiotry is the collection for public 3D LiDAR datasets
Awesome-Autonomous-Driving
awesome-autonomous-driving
Awesome-Talking-Head-Synthesis
💬 An extensive collection of exceptional resources dedicated to the captivating world of talking face synthesis! ⭐ If you find this repo useful, please give it a star! 🤩
bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Chatglm_lora_multi-gpu
chatglm多gpu用deepspeed和
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
comment_3DGS
Code comment for 3DGS
CVPR-2024-Papers-Autonomous-Driving
CVPR 2024 Papers Autonomous Driving
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
DipG-Seg
The official implementation of DipG-Seg.
distill-bev
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
ISAT_with_segment_anything
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
nerfacc
A General NeRF Acceleration Toolbox in PyTorch.
nerfstudio
A collaboration friendly studio for NeRFs
patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Point-Clouds-3D-Perception-with-Open3D
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
SegAnyGAussians
The official implementation of SAGA (Segment Any 3D GAussians)
segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
SegmentAnything3D
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
super-easy-super-resolution
super easy super resolution
SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆24 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.