Papers with Code 아카이브
Multi-View 3D Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Multi-sensor large-scale dataset for multi-view 3D reconstruction
Improving neural implicit surfaces geometry with patch warping
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
Multi-view 3D Reconstruction with Transformer
Extremely Dense Point Correspondences using a Learned Feature Descriptor
Planar Prior Assisted PatchMatch Multi-View Stereo
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Multi-Scale Geometric Consistency Guided Multi-View Stereo
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Specular-to-Diffuse Translation for Multi-View Reconstruction
Dense Multi-view 3D-reconstruction Without Dense Correspondences
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.