A Survey on Face Data Augmentation PDF

available at https://github.com/laughtervv/DISN. The supplemen- reconstruct 3D shapes by generating an implicit field. However such methods either ...

Self-Supervised 3D Face Reconstruction via Conditional Estimation

bined to reconstruct the 2D face image. In order to learn semantically meaningful 3D facial parameters without ex- plicit access to their labels

3D model reconstruction from single & multiple images

Paper: 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Deep learning for 3D reconstruction ... github.com/kjw0612/awesome-deep-.

Towards Practical Applications of NeRF

21-Jun-2021 for Novel View Synthesis & 3D Reconstruction. Songyou Peng ... NeRF is awesome! ... https://github.com/creiser/kilonerf ...

Dissertation - High- ality 3D Reconstruction from Low-Cost RGB-D

I feel lucky for becoming a part of such an out- standing research group with so many talented and awesome people to learn from. Secondly I want to thank Prof.

Structure from Motion

07-Mar-2017 Reconstruct a) Solve for pose and 3D points in two cameras b) Solve for pose of additional camera(s) that observe reconstructed 3D points.

Deep Hybrid Self-Prior for Full 3D Mesh Generation

Project page: https://yqdch.github.io/DHSP3D ment because it enables not only the 3D related from the input point cloud to reconstruct a 3D mesh with.

3DLEB-Net: Label-Efficient Deep Learning-Based Semantic

27-Sept-2021 ment 3D point clouds provide a metric reconstruction of the building ... is the same as the one of the DGCNN (github.com/WangYueFt/dgcnn.

ENRICHING 3D BUILDING MODELS BY FAC¸ ADE ELEMENTS

KEY WORDS: 3D reconstruction MLS Point clouds