https://github.com/gqk/hicom
공식 코드HiCoM: Hierarchical Coherent Motion for Streamable Dynamic Scene with 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/gqk/relaygs
공식 코드RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians
https://github.com/gsisaoki/omnidirectional_blender_3d_dataset
공식 코드OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender
https://github.com/haksorus/gsplatloc
공식 코드https://github.com/hbb1/2d-gaussian-splatting
공식 코드2D Gaussian Splatting for Geometrically Accurate Radiance Fields
https://github.com/hcplab-sysu/3daffordsplat
공식 코드3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
https://github.com/huntorochi/HoGS
공식 코드HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
https://github.com/iis-esslingen/nerf-3dgs-benchmark
공식 코드https://github.com/initialneil/DEGAS
공식 코드https://github.com/internlandmark/landmarksystem
공식 코드https://github.com/jho-yonsei/comogaussian
공식 코드CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images
https://github.com/jiahaolu97/poison-splat
공식 코드Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
https://github.com/jiajiali04/3d-reconstruction-plants
공식 코드https://github.com/jiaw-z/CoR-GS
공식 코드CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization
https://github.com/jibo27/3dgs_hierarchical_training
공식 코드https://github.com/jkulhanek/wild-gaussians
공식 코드https://github.com/kaikai23/maskgaussian
공식 코드MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
https://github.com/kaist-cvml-lab/DreamCatalyst
공식 코드https://github.com/kaist-cvml/dreamcatalyst
공식 코드https://github.com/kbyrski/raysplatting
공식 코드https://github.com/keloee/maskfield
공식 코드Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
https://github.com/ku-cvlab/gaussiantalker
공식 코드https://github.com/lab-of-ai-and-robotics/gs_icp_slam
공식 코드https://github.com/lastbasket/endo-2dtam
공식 코드https://github.com/learner-shx/svg-ir
공식 코드SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
https://github.com/lewis-stuart-11/3dgs-to-pc
공식 코드3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh
https://github.com/liguohao96/egg3d
공식 코드https://github.com/linhanwang/DC-Gaussian
공식 코드DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
https://github.com/liwrui/scenedreamer360
공식 코드SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting
https://github.com/lukashoel/3dgs-lm
공식 코드3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
https://github.com/maeyounes/aa-2dgs
공식 코드https://github.com/maincold2/Compact-3DGS
공식 코드https://github.com/masterhow/e-3dgs
공식 코드https://github.com/mavens-lab/layered_3d_gaussian_splats
공식 코드L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery
https://github.com/moorethreads/litegs
공식 코드LiteGS: A High-Performance Modular Framework for Gaussian Splatting Training
https://github.com/narcissusex/guardsplat
공식 코드GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.