Qi Ma's repositories

Continuous-Pose-in-NeRF

Implementation of Continuous Pose for Monocular Cameras in Neural Implicit Representation

Language:PythonLicense:Apache-2.0Stargazers:40Issues:8Issues:2

DE-NeRF

Implemetation of ICCV 2023 Dynamic Event NeRF

Implicit-Zoo

Official Implementation of Impliti-Zoo: Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes

Language:PythonLicense:MITStargazers:12Issues:2Issues:0

SplaTAM_with_PoseNet

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Language:PythonLicense:BSD-3-ClauseStargazers:2Issues:0Issues:0

feature-3dgs_Qi

[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

License:NOASSERTIONStargazers:1Issues:0Issues:0

ShapenetRender_more_variation

A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.

Stargazers:1Issues:0Issues:0

cam_lidar_post_calibration

Given unknown point cloud by using ICP and user interactive choose points pair to estimate extrinsics

Language:PythonStargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0
License:NOASSERTIONStargazers:0Issues:0Issues:0

DWSNets

Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]

License:MITStargazers:0Issues:0Issues:0

gaussian-splatting-omniobject3d

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

License:NOASSERTIONStargazers:0Issues:0Issues:0

ICCV-2023-Papers

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

License:MITStargazers:0Issues:0Issues:0

inr2vec_compare

Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)

License:MITStargazers:0Issues:0Issues:0

L2G-NeRF

[CVPR 2023] L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

License:MITStargazers:0Issues:0Issues:0

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

LangSplat_Qi

Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]

License:NOASSERTIONStargazers:0Issues:0Issues:0

LightGaussian_Qi

"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

MonoGS_Qi

[CVPR'24 Highlight] Gaussian Splatting SLAM

License:NOASSERTIONStargazers:0Issues:0Issues:0

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

License:MITStargazers:0Issues:0Issues:0

nerfstudio

A collaboration friendly studio for NeRFs

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

nope-nerf-continous-time

(CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

PointTransformerV3_Encoder

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

License:MITStargazers:0Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:CSSLicense:NOASSERTIONStargazers:0Issues:0Issues:0

SAM-Med3D-Teeth

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

License:Apache-2.0Stargazers:0Issues:0Issues:0

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.

License:Apache-2.0Stargazers:0Issues:0Issues:0

segment-anything-2-CBCT

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 the model.

License:Apache-2.0Stargazers:0Issues:0Issues:0

semantic_nerf

The implementation of "In-Place Scene Labelling and Understanding with Implicit Scene Representation" [ICCV 2021].

License:NOASSERTIONStargazers:0Issues:0Issues:0

theseus

A library for differentiable nonlinear optimization

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

vision-transformers-cifar10

Let's train vision transformers (ViT) for cifar 10!

License:MITStargazers:0Issues:0Issues:0