https://github.com/bbbbby-99/wah-nerf
공식 코드Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs
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/benhenryl/sharpnerf
공식 코드Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
https://github.com/bigcileng/bilateral-driving
공식 코드Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
https://github.com/billyxyb/facednerf
공식 코드FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
https://github.com/billyxyb/fdnerf
공식 코드FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
https://github.com/bit-vision/spikenerf
공식 코드SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
https://github.com/biter0088/pc-nerf
공식 코드https://github.com/bmild/nerf
공식 코드NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/boifz/vdn-nerf
공식 코드VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
https://github.com/breuckelen/torf
공식 코드TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
https://github.com/bronemos/view-fusion
공식 코드ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
https://github.com/brown-ivl/Cafi-Net
공식 코드Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
https://github.com/buaacyw/gaussianeditor
공식 코드GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
https://github.com/buaavrcg/BakedAvatar
공식 코드BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
https://github.com/c-nerf/c-nerf
공식 코드C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF
https://github.com/caiyuanhao1998/hdr-gs
공식 코드HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
https://github.com/caiyuanhao1998/sax-nerf
공식 코드https://github.com/caiyuanhao1998/x-gaussian
공식 코드Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
https://github.com/cancaries/SceneCrafter
공식 코드Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
https://github.com/caoang327/fwd_code
공식 코드FWD: Real-time Novel View Synthesis with Forward Warping and Depth
https://github.com/carlinds/splatad
공식 코드SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
https://github.com/cassiePython/CLIPNeRF
공식 코드CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
https://github.com/cassiePython/NeRF-Art
공식 코드https://github.com/cerf-volant425/thermal-nerf
공식 코드Thermal-NeRF: Neural Radiance Fields from an Infrared Camera
https://github.com/cg-tuwien/does_3d_gaussian_splatting_need_accurate_volumetric_rendering
공식 코드Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?
https://github.com/cgtuebingen/Neural-PIL
공식 코드Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
https://github.com/chaneyddtt/ghunerf
공식 코드https://github.com/changwoonchoi/EgoNeRF
공식 코드https://github.com/changwoonchoi/IBL-NeRF
공식 코드IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields
https://github.com/chaoyuesong/moda
공식 코드https://github.com/chen-hangyu/Thermal-Gaussian-main
공식 코드https://github.com/chenhsuanlin/bundle-adjusting-NeRF
공식 코드https://github.com/chenkang455/usp-gaussian
공식 코드USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
https://github.com/chenvoid/mga
공식 코드https://github.com/city-super/Octree-GS
공식 코드Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
https://github.com/cmlab-korea/awesome-3d-low-level-vision
공식 코드R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.