https://github.com/ActiveVisionLab/porf
공식 코드PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction
Papers with Code 아카이브
Neural Rendering
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Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CVMI-Lab/HybridNeuralRendering
공식 코드Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur
https://github.com/GaussianObject/GaussianObject
공식 코드GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
https://github.com/Guanghan/DANR
공식 코드Data Augmentation for Object Detection via Differentiable Neural Rendering
https://github.com/HengyiWang/MorpheuS
공식 코드MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
https://github.com/Inter3D-ui/Inter3D
공식 코드Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction
https://github.com/JOP-Lee/READ-Large-Scale-Neural-Scene-Rendering-for-Autonomous-Driving
공식 코드READ: Large-Scale Neural Scene Rendering for Autonomous Driving
https://github.com/JanaldoChen/Anim-NeRF
공식 코드https://github.com/JianlingWANG2021/SGSST
공식 코드https://github.com/Jumponthemoon/WeatherGS
공식 코드WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
https://github.com/LansburyCH/relightable-nr
공식 코드https://github.com/NVlabs/CF-3DGS
공식 코드https://github.com/NVlabs/eg3d
공식 코드https://github.com/NVlabs/neuralangelo
공식 코드https://github.com/OpenGVLab/PonderV2
공식 코드PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
https://github.com/SJoJoK/3DGStream
공식 코드https://github.com/ShanghaiTech-IMPACT/Geometry-Aware-Attenuation-Learning-for-Sparse-View-CBCT-Reconstruction
공식 코드Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
공식 코드https://github.com/USTC3DV/MERFStudio
공식 코드City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
https://github.com/VITA-Group/LightGaussian
공식 코드LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
https://github.com/Vinayak-VG/GAURA
공식 코드GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
https://github.com/WU-CVGL/BAD-Gaussians
공식 코드https://github.com/WU-CVGL/BAD-NeRF
공식 코드https://github.com/WanquanF/RMA-Net
공식 코드Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
https://github.com/Xharlie/pointnerf
공식 코드https://github.com/aejion/neuface
공식 코드NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
https://github.com/agnjason/fmhr
공식 코드Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
https://github.com/algohunt/vqrf
공식 코드https://github.com/aluo-x/3D_SLN
공식 코드https://github.com/andrewjong/ShineOn-Virtual-Tryon
공식 코드ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
https://github.com/andypinxinliu/HumanFaceProject/tree/main/assets/GaussianStyle
공식 코드https://github.com/antgroup/ditto-talkinghead
공식 코드Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head Synthesis
https://github.com/apchenstu/mvsnerf
공식 코드MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
https://github.com/apple/ml-hugs
공식 코드https://github.com/autonomousvision/giraffe
공식 코드GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
https://github.com/autonomousvision/voxgraf
공식 코드VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.