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[NeurIPS'25 Spotlight] GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…
[ICLR 2025] Point-SAM: Promptable 3D Segmentation Model for Point Clouds
PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
[IROS 2025] LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
Official implementation of the paper "SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative Priors"
This repository contains PyTorch implementation for Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network (NeurIPS 2022).
[CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations
[NeurIPS'2024] Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[IEEE TIP 2025]The official repository of LoopSparseGS.
[ICCV 2025 Highlight] A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation(ICCV2025)
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
Official PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
[SIGGRAPH Asia 2025 (ACM TOG)] AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
Physical laws underpin all existence, and harnessing them for generative modeling opens boundless possibilities for advancing science and shaping the future!
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"