https://github.com/cmusatyalab/mega-nerf
공식 코드Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
Papers with Code 아카이브
NeRF
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cpregroup/specnerf-v2
공식 코드https://github.com/creiser/kilonerf
공식 코드KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
https://github.com/crishy1995/headnerf
공식 코드https://github.com/cskkxjk/mononerd
공식 코드MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
https://github.com/cuiziteng/Aleth-NeRF
공식 코드Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
https://github.com/cuiziteng/Luminance-GS
공식 코드https://github.com/cuteyyt/or-nerf
공식 코드OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
https://github.com/cvg/nerf-on-the-go
공식 코드NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
https://github.com/cwchenwang/NeRF-SR
공식 코드NeRF-SR: High-Quality Neural Radiance Fields using Supersampling
https://github.com/dadonda89/DDNeRF
공식 코드https://github.com/daniel03c1/masked_wavelet_nerf
공식 코드Masked Wavelet Representation for Compact Neural Radiance Fields
https://github.com/danielajisafe/mirror-aware-neural-humans
공식 코드https://github.com/danielshkao/deceptivehuman
공식 코드InceptionHuman: Controllable Prompt-to-NeRF for Photorealistic 3D Human Generation
https://github.com/david-svitov/BBSplat
공식 코드BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis
https://github.com/dawning77/nerrf
공식 코드https://github.com/dazinovic/neural-rgbd-surface-reconstruction
공식 코드https://github.com/deborahLevy130/seathru_NeRF
공식 코드https://github.com/deepmind/functa
공식 코드From data to functa: Your data point is a function and you can treat it like one
https://github.com/deguchihiroyuki/e2gs
공식 코드https://github.com/dengnianchen/fovnerf
공식 코드FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
https://github.com/dnvtmf/SP_GS
공식 코드Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
https://github.com/dogyoonlee/dp-nerf
공식 코드DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors
https://github.com/dongjiahua/vica-nerf
공식 코드ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
https://github.com/donydchen/matchnerf
공식 코드Explicit Correspondence Matching for Generalizable Neural Radiance Fields
https://github.com/donydchen/sem2nerf
공식 코드Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
https://github.com/dreamguo/UNIKD
공식 코드UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit Representation
https://github.com/dtc111111/mcnslam
공식 코드MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation
https://github.com/dtc111111/neslam
공식 코드https://github.com/dunbar12138/DSNeRF
공식 코드Depth-supervised NeRF: Fewer Views and Faster Training for Free
https://github.com/dvlab-research/efficientnerf
공식 코드https://github.com/dvlab-research/trivol
공식 코드https://github.com/eckertzhang/text2nerf
공식 코드Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
https://github.com/eezkni/colnerf
공식 코드ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
https://github.com/eladrich/latent-nerf
공식 코드Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
https://github.com/ellimac0/sat-ngp
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.