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Found 6 papers, 3 papers with code
CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes
The entertainment industry relies on 3D visual content to create immersive experiences, but traditional methods for creating textured 3D models can be time-consuming and subjective.
Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
Specifically, we take the low-level layout edges estimated from the input panorama as a prior to guide the inpainting model for recovering the global indoor structure.
Sampling Neural Radiance Fields for Refractive Objects
To tackle this challenging problem, the refractive index of a scene is reconstructed from silhouettes.
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network
The major improvement over PSMNet comes from a novel Geometry-aware Panorama Registration Network or GPR-Net that effectively tackles the wide baseline registration problem by exploiting the layout geometry and computing fine-grained correspondences on the layout boundaries, instead of the global pixel-space.
Instance-aware Image Colorization
Previous methods leverage the deep neural network to map input grayscale images to plausible color outputs directly.
Ranked #2 on
Point-interactive Image Colorization
on CUB-200-2011
(using extra training data)
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Recent approaches for predicting layouts from 360 panoramas produce excellent results.
