NeRF
1.[Paper Review] Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
2.[Paper Review] F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
Instant NGP를 기반으로 새로운 space warping 방법을 적용하여 빠른 속도로 unbounded scene의 reconstruction을 달성한 논문
3.[Paper Review] DynIBaR: Neural Dynamic Image-Based Rendering
장면 모션 인식 방식으로 주변 뷰의 feature aggresion을 통해 새로운 시점을 합성하는 volumetric image-based rendering framework를 적용하여 Dynamic NeRF를 달성한 논문
4.[Paper Review] Robust Dynamic Radiance Fields
카메라 매개 변수(pose 및 focal length)와 함께 static 및 dynamic radiance field를 공동으로 추정하여 dynamic NeRF를 달성한 논문
5.[Paper Review] NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
Observation space의 표면 위치와 방향에 따라 조절되도록 neural radiance field 함수를 재구성하고, 움직이는 물체의 mask를 추가하여 Dynamic NeRF를 달성한 논문
6.[Paper Review] NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Udistorted monocular depth map과 point cloud의 loss를 최적화하는 camera pose를 추정함으로써 까다로운 카메라 궤적에서도 높은 렌더링 성능을 달성한 논문
7.[Paper Review] Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Paper : Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
8.[Paper Review] Mip-NeRF 360: Unbounded anti-aliased neural radiance fields
Paper : Robust Dynamic Radiance FieldsNeRF
9.[Paper Review] Neural 3D Video Synthesis from Multi-view Video
Paper : Neural 3D Video Synthesis from Multi-view Video
10.[Paper Review] Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Paper : Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
11.[Paper Review] Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
Paper : Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
12.[Paper Review] Variable Bitrate Neural Fields
Paper : Variable Bitrate Neural Fields