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[ECCV 2024] The official implementation of "CAT-SAM: Conditional Tuning Network for Few-Shot Adaptation of Segmentation Anything Model".
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
[ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>
[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Universal Monocular Metric Depth Estimation
[CVPR 2024] Official implementation of "SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration"
The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".
[ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
This repository contains the code for the paper An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes https://arxiv.org/abs/2311.12897
[ISPRS J P&RS 2023] Official implementation for Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Code of "OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments".
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency
(IEEE TIV) A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
All you need for End-to-end Autonomous Driving
VFDepth Self-supervised surround-view depth estimation with volumetric feature fusion
Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]