hands, human figures) containing example patches of fea- sible mappings from the appearance to the depth of each object Given an image of a novel object, we
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3D shape reconstruction from single image has been a end Single Image Conditional GAN (SICGAN) framework at https://github com/dysdsyd/SICGAN 1
SICGAN
platform and a 3D-reconstruction algorithm using single image Also, this article contains There are more result images on the following GitHub account:
paper
Paper: 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Deep learning for 3D reconstruction github com/kjw0612/awesome-deep- vision
DR N Dreconstruction
ing plane segmentation masks from a single RGB image We have //github com /art-programmer/PlaneNet 1 Single image 3D reconstruction of line draw-
cvpr PlaneNet camera ready
https://github com/YadiraF/PRNet Keywords: 3D Face Reconstruction · Dense Face Alignment 1 Introduction 3D face 53] to restore the corresponding 3D information from a single 2D facial image, which provides both dense face
Yao Feng Joint D Face ECCV paper
In this paper we propose a novel deep learning frame- work to reconstruct 3D hand poses and shapes of two interacting hands from a single color image.
Traditional 3D reconstruction methods [10 1
Early techniques for single image 3D shape estimation were model-based [12 7
Code for our paper is publicly available at https://github.com/dysdsyd/SICGAN. 1. Introduction. The world around us is in 3D and thus working to- wards
holes and thin structures present in 3D shapes from single-view images. DISN achieves the state-of-the-art single-view reconstruction performance on a
The proposed pipeline: We reconstruct a 3D clothing model from a single 2D clothing image. Then given a target hu- man image
Code is available at https://github.com/ svip-lab/PlanarReconstruction. 1. Introduction. Single-image 3D reconstruction is a fundamental prob-.
Code is available at https://github.com/ svip-lab/PlanarReconstruction. 1. Introduction. Single-image 3D reconstruction is a fundamental prob-.
2018. 6. 8. Conclusion: there is no one-to-one correspondence between epipolar curves. G. Facciolo C. de Franchis
Domain-Adaptive Single-View 3D Reconstruction