3 papers
cs.CV2020
Better Patch Stitching for Parametric Surface Reconstruction
Zhantao Deng, Jan Bednařík, Mathieu Salzmann +1
Recently, parametric mappings have emerged as highly effective surface representations, yielding low reconstruction error. In particular, the latest works represent the target shap…
cs.CV2019
Shape Reconstruction by Learning Differentiable Surface Representations
Jan Bednarik, Shaifali Parashar, Erhan Gundogdu +2
Generative models that produce point clouds have emerged as a powerful tool to represent 3D surfaces, and the best current ones rely on learning an ensemble of parametric represent…
cs.CV2018
Learning to Reconstruct Texture-less Deformable Surfaces from a Single View
Jan Bednařík, Pascal Fua, Mathieu Salzmann
Recent years have seen the development of mature solutions for reconstructing deformable surfaces from a single image, provided that they are relatively well-textured. By contrast,…