https://github.com/zqlin0521/cdgs-release
공식 코드CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting
Papers with Code 아카이브
3DGS
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AuthorityWang/VideoGS
V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
https://github.com/Kunhao-Liu/StyleGaussian
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
https://github.com/Linyou/D3DGS
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/NJU-3DV/Gaussian-Flow
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/SanoScience/PR-ENDO
https://github.com/ai4ce/EUVS-Benchmark
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
https://github.com/autonomousvision/gaussian-opacity-fields
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
https://github.com/autonomousvision/mip-splatting
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
https://github.com/caiyuanhao1998/sax-nerf
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
https://github.com/caiyuanhao1998/x-gaussian
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
https://github.com/facebookresearch/uco3d
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
https://github.com/georghess/neurad
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
https://github.com/georghess/neurad-studio
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
https://github.com/hugoycj/2d-gaussian-splatting-great-again
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
https://github.com/lilygoli/SpotLessSplats
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting
https://github.com/linketic/citygaussian
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
https://github.com/markomih/splatfields
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction
https://github.com/mikeqzy/3dgs-avatar-release
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
https://github.com/mks0601/ExAvatar_RELEASE
https://github.com/muskie82/monogs
https://github.com/rzhevcherkasy/bmvc24-gsim
Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting
https://github.com/skyworkai/mvgamba
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
https://github.com/wangys16/freesplat
FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction
https://github.com/yijiaguo02/spikegs
SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors
https://github.com/yuansun-xjtu/icomma
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
https://github.com/zdwww/Wheat-3DGS
https://github.com/zhipeixu/fakeshield
https://github.com/ziyc/drivestudio
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.