Xueqian Li's starred repositories
Segment-Any-Point-Cloud
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
SpaTracker
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
ScatterFormer
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
structured_init
Structured Initialization for Attention in Vision Transformers
FastKernelSF
Fast per-point embedding kernel for scene flow estimation
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
impulse_init
Convolutional Initialization for Data-Efficient Vision Transformers
segment-anything-fast
A batched offline inference oriented version of segment-anything
open-interpreter
A natural language interface for computers
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
compressive_benchmark
This repo contains the released version of code and datasets used for our IROS 2021 paper: "Map Compressibility Assessment for LiDAR Registration.