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NeRF
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lyclyc52/nerf_rpn
공식 코드https://github.com/lzhnb/gs-ir
공식 코드https://github.com/maftej/iisnerf
공식 코드https://github.com/magdalena-wysocki/ultra-nerf
공식 코드https://github.com/markomih/ResFields
공식 코드ResFields: Residual Neural Fields for Spatiotemporal Signals
https://github.com/masterhow/e-3dgs
공식 코드https://github.com/mbortolon97/vm-nerf
공식 코드https://github.com/mcdermatt/plink
공식 코드A Probabilistic Formulation of LiDAR Mapping with Neural Radiance Fields
https://github.com/megvii-research/AAAI2023-PVD
공식 코드https://github.com/metaslam/360fusionnerf
공식 코드360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance
https://github.com/mgholamikn/PoseGen
공식 코드PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
https://github.com/minghanqin/LangSplat
공식 코드https://github.com/mingsun-tse/lightavatar-tensorflow
공식 코드LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
https://github.com/mlvlab/UP-NeRF
공식 코드UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields
https://github.com/moorethreads/litegs
공식 코드LiteGS: A High-Performance Modular Framework for Gaussian Splatting Training
https://github.com/mr-firework/saenerf
공식 코드SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields
https://github.com/mrsecant/gaussiangrasper
공식 코드GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping
https://github.com/mrsempress/nerf-detplusplus
공식 코드https://github.com/mshahbazi72/nerf-gan-distillation
공식 코드NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
https://github.com/murcherful/gaupcrender
공식 코드Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians
https://github.com/mybabyyh/instructpix2nerf
공식 코드InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
https://github.com/myniuuu/rs-nerf
공식 코드https://github.com/naruya/vaxnerf
공식 코드VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field
https://github.com/naver-ai/BlendNeRF
공식 코드https://github.com/naver-ai/zim
공식 코드https://github.com/nerfdeformer/nerfdeformer
공식 코드NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
https://github.com/nfyfamr/mf-nerf
공식 코드MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
https://github.com/nianticlabs/diffusionerf
공식 코드DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
https://github.com/nikhilmishra000/cov-nerf
공식 코드Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs
https://github.com/nikola3794/normal-clustering-nerf
공식 코드Surface Normal Clustering for Implicit Representation of Manhattan Scenes
https://github.com/nnanhuang/s3gaussian
공식 코드$\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
https://github.com/nubot-nudt/td-nerf
공식 코드TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization
https://github.com/nubot-nudt/ugna-vpr
공식 코드https://github.com/onpix/LLNeRF
공식 코드Lighting up NeRF via Unsupervised Decomposition and Enhancement
https://github.com/open-air-sun/mars
공식 코드MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.