The Download link is Generated: Download https://dysdsyd.github.io/files/SICGAN.pdf


Domain-Adaptive Single-View 3D Reconstruction



Interacting Two-Hand 3D Pose and Shape Reconstruction From

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.



GAL: Geometric Adversarial Loss for Single-View 3D-Object

Traditional 3D reconstruction methods [10 1



Multi-person Implicit Reconstruction from a Single Image

Early techniques for single image 3D shape estimation were model-based [12 7



SICGAN - Single Image 3D Reconstruction based on Conditional GAN

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 



DISN: Deep Implicit Surface Network for High-quality Single-view 3D

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 



3D Reconstruction of Clothes using a Human Body Model and its

The proposed pipeline: We reconstruct a 3D clothing model from a single 2D clothing image. Then given a target hu- man image



Single-Image Piece-Wise Planar 3D Reconstruction via Associative

Code is available at https://github.com/ svip-lab/PlanarReconstruction. 1. Introduction. Single-image 3D reconstruction is a fundamental prob-.



Single-Image Piece-Wise Planar 3D Reconstruction via Associative

Code is available at https://github.com/ svip-lab/PlanarReconstruction. 1. Introduction. Single-image 3D reconstruction is a fundamental prob-.



Automated 3D reconstruction from satellite images - SIAM IS18

2018. 6. 8. Conclusion: there is no one-to-one correspondence between epipolar curves. G. Facciolo C. de Franchis