Papers with Code 아카이브

NeRF

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xk-huang/yet-another-nerf

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

https://github.com/y-u-a-n-l-i/Climate_NeRF

ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field

https://github.com/yangyucheng000/NERF

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

https://github.com/yenchenlin/inerf-public

INeRF: Inverting Neural Radiance Fields for Pose Estimation

https://github.com/yenchenlin/nerf-pytorch

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

https://github.com/yerfor/geneface

GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

https://github.com/yuansun-xjtu/icomma

iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching

https://github.com/yuanzhi-zhu/prolific_dreamer2d

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

https://github.com/yuehaowang/nerf-pytorch

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

https://github.com/yzmblog/monohuman

MonoHuman: Animatable Human Neural Field from Monocular Video

https://github.com/zdwww/Wheat-3DGS

Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting

https://github.com/zhipeixu/fakeshield

GS-Hider: Hiding Messages into 3D Gaussian Splatting

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.