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