Papers with Code 아카이브
Monocular Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DreamTexture: Shape from Virtual Texture with Analysis by Augmentation
FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video
Disambiguating Monocular Reconstruction of 3D Clothed Human with Spatial-Temporal Transformer
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction
Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
T-Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis
360° Volumetric Portrait Avatar
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
Reconstructing Animatable Categories from Videos
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces
Applied monocular reconstruction of parametric faces with domain engineering
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension
Unsupervised Learning of 3D Object Categories from Videos in the Wild
Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View
Learning Complete 3D Morphable Face Models from Images and Videos
Monocular Reconstruction of Neural Face Reflectance Fields
Consistent Video Depth Estimation
Monocular Depth Estimation with Self-supervised Instance Adaptation
Hyperparameter-Free Losses for Model-Based Monocular Reconstruction
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
MonoPerfCap: Human Performance Capture from Monocular Video
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.