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NeRF
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Lakonik/SSDNeRF
공식 코드Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
https://github.com/Lxiangyue/GenN2N
공식 코드https://github.com/MarvinChung/Orbeez-slam
공식 코드Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
https://github.com/MiZhenxing/Switch-NeRF
공식 코드Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
https://github.com/NVlabs/ParallelInversion
공식 코드Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
https://github.com/NagabhushanSN95/ViP-NeRF
공식 코드ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields
https://github.com/PKU-EPIC/GraspNeRF
공식 코드https://github.com/POSTECH-CVLab/PeRFception
공식 코드https://github.com/PeterouZh/CIPS-3D
공식 코드CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
https://github.com/PierreMarza/autonerf
공식 코드AutoNeRF: Training Implicit Scene Representations with Autonomous Agents
https://github.com/ROKIT-Healthcare/FastSurf
공식 코드https://github.com/Rubikalubi/TraM-NeRF
공식 코드TraM-NeRF: Tracing Mirror and Near-Perfect Specular Reflections through Neural Radiance Fields
https://github.com/SHI-Labs/UltraSR-Arbitrary-Scale-Super-Resolution
공식 코드https://github.com/ShijieZhou-UCLA/feature-3dgs
공식 코드Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
https://github.com/THU-LYJ-Lab/T3Bench
공식 코드T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
https://github.com/TQTQliu/MVSGaussian
공식 코드MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
https://github.com/ToniRV/NeRF-SLAM
공식 코드NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields
https://github.com/Totoro97/NeuS
공식 코드NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
https://github.com/Totoro97/f2-nerf
공식 코드F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
https://github.com/USTC3DV/NeRFBlendShape-code
공식 코드Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
https://github.com/VITA-Group/LightGaussian
공식 코드LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
https://github.com/VITA-Group/NeuralLift-360
공식 코드NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
https://github.com/VITA-Group/SinNeRF
공식 코드SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
https://github.com/VU-RASL/GSAC
공식 코드GSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration
https://github.com/WU-CVGL/BAD-Gaussians
공식 코드https://github.com/WU-CVGL/BAD-NeRF
공식 코드https://github.com/WU-CVGL/BeNeRF
공식 코드BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream
https://github.com/WU-CVGL/USB-NeRF
공식 코드USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
https://github.com/Wanggcong/SparseNeRF
공식 코드SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
https://github.com/Woo-Seok-Kim/ref-square-NeRF
공식 코드REF$^2$-NeRF: Reflection and Refraction aware Neural Radiance Field
https://github.com/XRIM-Lab/GS-CPR
공식 코드GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting
https://github.com/Xharlie/pointnerf
공식 코드https://github.com/XiangFeng66/SR-GS
공식 코드https://github.com/YoungJoongUNC/Neural_Human_Performer
공식 코드Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
https://github.com/YudongGuo/AD-NeRF
공식 코드AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.