[PDF] Deep Mesh Reconstruction From Single RGB Images via Topology PDF Pan_Deep_Mesh_Reconstruction_From_Single_RGB_Images_via_Topology_Modification_ICCV_2019

Reconstructing the 3D mesh of a general object from a single image is now possible thanks to the latest advances of deep learning technologies However, due

Methods, Issues and challenges ○ Deep learning for 3D reconstruction ○ Background: deep neural nets □ CNN □ RNN (LSTM) ○ Architecture ○ Results

[PDF] Single View 3D Reconstruction using Deep Learning - Adelaide

22 sept 2020 · One of the major challenges in the field of Computer Vision has been the recon- struction of a 3D object or scene from a single 2D image

[PDF] Deep Mesh Reconstruction From Single RGB Images via Topology

Reconstructing the 3D mesh of a general object from a single image is now possible thanks to the latest advances of deep learning technologies However, due

3D reconstruction using deep learning: a survey - International

We divide all surveyed methods into three categories on the ground of the input modality: single RGB image based, multiple RGB images based and sketch based

[PDF] RayNet: Learning Volumetric 3D Reconstruction - Andreas Geiger

RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials embeds image and shape together for single view 3D vol- Efficient deep learning

[PDF] Perspective Transformer Nets: Learning Single-View 3D Object

this work, we investigate the task of single-view 3D object reconstruction from a volume from a single 2D image with three sets of experiments: (1) learning from deep generative model that extends the convolutional deep belief network

Compact Model Representation for 3D Reconstruction - IEEE Xplore

dense and realistic 3D reconstruction from single images 1 Introduction a single image and anchors Deep learning techniques have also been entertained