https://github.com/kirstenmaas/nerf-ca
공식 코드NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
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/klmav-cuc/gdb-nerf
공식 코드Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
https://github.com/klmav-cuc/golf-nrt
공식 코드GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
https://github.com/knelk/enerf
공식 코드https://github.com/kostadinovshalon/exact-nerf
공식 코드Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
https://github.com/kunhao-liu/3d-ovs
공식 코드https://github.com/kwanyun/FFaceNeRF
공식 코드https://github.com/kylesargent/zeronvs
공식 코드ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
https://github.com/lab-of-ai-and-robotics/bayesian_nerf
공식 코드Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields
https://github.com/lachholden/fednerf-pytorch
공식 코드https://github.com/lastbasket/endo-4dgs
공식 코드Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
https://github.com/leandropassosjr/bionerf
공식 코드BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis
https://github.com/leaplabthu/activenerf
공식 코드ActiveNeRF: Learning where to See with Uncertainty Estimation
https://github.com/learner-shx/svg-ir
공식 코드SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
https://github.com/leejielong/disr-nerf
공식 코드DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
https://github.com/liaozhanfeng/spiking-nerf
공식 코드Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
https://github.com/liguohao96/egg3d
공식 코드https://github.com/limacv/Deblur-NeRF
공식 코드https://github.com/liru0126/spectralnerf
공식 코드SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field
https://github.com/liuff19/Semantic-Ray
공식 코드Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
https://github.com/liulisixin/mli-nerf
공식 코드MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields
https://github.com/lizhe00/animatablegaussians
공식 코드Animatable and Relightable Gaussians for High-fidelity Human Avatar Modeling
https://github.com/lkeab/gaussian-grouping
공식 코드https://github.com/llrtt/G-NeRF
공식 코드G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
https://github.com/longxiang-ai/human101
공식 코드Human101: Training 100+FPS Human Gaussians in 100s from 1 View
https://github.com/loping151/forplane
공식 코드Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
https://github.com/lsongx/halo
공식 코드Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis
https://github.com/lu-zhan/pano-nerf
공식 코드https://github.com/luciferbobo/d4nerf
공식 코드Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
https://github.com/lucky9-cyou/S2-NeRF
공식 코드https://github.com/lukasuz/articulated-point-nerf
공식 코드Template-free Articulated Neural Point Clouds for Reposable View Synthesis
https://github.com/lulinzhang/brdf-nerf
공식 코드BRDF-NeRF: Neural Radiance Fields with Optical Satellite Images and BRDF Modelling
https://github.com/lulinzhang/sps-nerf
공식 코드SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
https://github.com/luo-ziyuan/CopyRNeRF-code
공식 코드CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
https://github.com/lwwu2/diver
공식 코드https://github.com/lwwu2/diver-rt
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.