https://github.com/gmum/multiplanenerf
공식 코드MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
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/gmum/points2nerf
공식 코드Points2NeRF: Generating Neural Radiance Fields from 3D point cloud
https://github.com/google-research/google-research/tree/master/regnerf
공식 코드RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
https://github.com/google-research/google-research/tree/master/snerg
공식 코드https://github.com/google-research/jax3d
공식 코드https://github.com/google-research/kubric
공식 코드https://github.com/google-research/multinerf
공식 코드NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
https://github.com/google-research/nerf-from-image
공식 코드Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion
https://github.com/google-research/sparf
공식 코드https://github.com/google/mipnerf
공식 코드Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
https://github.com/google/nerfactor
공식 코드NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
https://github.com/google/nerfies
공식 코드https://github.com/gradient-scaling/gradient-scaling.github.io
공식 코드Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training
https://github.com/grasp-lyrl/ActiveScout
공식 코드Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments
https://github.com/greatdrake/reparameterized-volume-sampling
공식 코드Differentiable Rendering with Reparameterized Volume Sampling
https://github.com/gsisaoki/omnidirectional_blender_3d_dataset
공식 코드OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender
https://github.com/gyhandy/neural-sim-nerf
공식 코드https://github.com/haganelego/manifoldnerf_bmvc2023
공식 코드ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields
https://github.com/haidongz-usc/CAT-NeRF
공식 코드CAT-NeRF: Constancy-Aware Tx$^2$Former for Dynamic Body Modeling
https://github.com/haidongz-usc/CaesarNeRF
공식 코드CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
https://github.com/hannahhaensen/dynamon
공식 코드DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
https://github.com/hannahhaensen/nerftrinsic_four
공식 코드https://github.com/haoyizhu/xnerf
공식 코드X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views
https://github.com/hardyho/ultrametric_feature_fields
공식 코드View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields
https://github.com/harelab-ucsc/redwoodnerf
공식 코드NeRF-Accelerated Ecological Monitoring in Mixed-Evergreen Redwood Forest
https://github.com/hcp16/active_nerf
공식 코드ActiveNeRF: Learning Accurate 3D Geometry by Active Pattern Projection
https://github.com/heathcliff-saku/viewfool_
공식 코드ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
https://github.com/hexagonprime/pix2nerf
공식 코드Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation
https://github.com/hku-mars/fast-livo2
공식 코드https://github.com/hnrna/shadowfreenerf-camerareloc
공식 코드https://github.com/hongfz16/EVA3D
공식 코드EVA3D: Compositional 3D Human Generation from 2D Image Collections
https://github.com/hturki/pynerf
공식 코드https://github.com/humansensinglab/Generalizable-Human-Gaussians
공식 코드https://github.com/hustvl/TiNeuVox
공식 코드https://github.com/hzxie/GaussianCity
공식 코드GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation
https://github.com/hzxie/awesome-3d-scene-generation
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.