Papers with Code 아카이브
RGB-D Reconstruction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LiveNVS: Neural View Synthesis on Live RGB-D Streams
MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes
Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.