https://github.com/open-mmlab/mmdetection3d
공식 코드NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
Papers with Code 아카이브
NeRF
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/openinterx/culture3d
공식 코드CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications
https://github.com/openxrlab/xrdslam
공식 코드XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM
https://github.com/openxrlab/xrfeitoria
공식 코드SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
https://github.com/orangesodahub/scenecraft
공식 코드https://github.com/orig333/Blended-NeRF
공식 코드Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields
https://github.com/paoyw/Stylized-NeRF-with-AdaIN
공식 코드https://github.com/pcl3dv/dunerf
공식 코드https://github.com/pcl3dv/ov-nerf
공식 코드https://github.com/peizhiyan/flame-head-tracker
공식 코드https://github.com/peoplelu/dn-4dgs
공식 코드DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
https://github.com/perf-project/PeRF
공식 코드PERF: Panoramic Neural Radiance Field from a Single Panorama
https://github.com/pixie8888/mvsdet
공식 코드MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
https://github.com/pmj110119/renderocc
공식 코드RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
https://github.com/poetrywanderer/CF-NeRF
공식 코드Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
https://github.com/postech-cvlab/scnerf
공식 코드https://github.com/princeton-vl/snp
공식 코드https://github.com/prs-eth/t4dt
공식 코드https://github.com/prstrive/scgaussian
공식 코드Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
https://github.com/public-bots/gaussianpretrain
공식 코드https://github.com/pulangk97/SANeRF
공식 코드https://github.com/qihanggh/closed-form-color-field
공식 코드Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
https://github.com/qimaqi/Implicit-Zoo
공식 코드Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
https://github.com/qimaqi/continuous-pose-in-nerf
공식 코드Continuous Pose for Monocular Cameras in Neural Implicit Representation
https://github.com/qiuyu96/carver
공식 코드Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
https://github.com/qt-zhu/rpbg
공식 코드RPBG: Towards Robust Neural Point-based Graphics in the Wild
https://github.com/quan-meng/gnerf
공식 코드https://github.com/quereste/implicit-deepfake
공식 코드Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
https://github.com/quzefan/lush-nerf
공식 코드LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
https://github.com/redrock303/NeRFLiX_CPVR2023
공식 코드NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
https://github.com/renaissanceee/mipmap-gs
공식 코드Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering
https://github.com/rendervous/cloudy_project
공식 코드Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes
https://github.com/ripl/nerfuser
공식 코드https://github.com/robincourant/jaws
공식 코드JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
https://github.com/robot0321/DepthRegularizedGS
공식 코드Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images
https://github.com/russrobin/knowledge_nerf
공식 코드Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.