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`Code for the paper: Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation` This is the PyTorch implementation of the color-to-voxel model translation presented on ECCV 2018.
The main features of vlkniaz/ssz are: Single View Reconstruction.
Projects with overlapping indexed features include: apple/ml-sharp — ml-sharp is a neural radiance field framework designed for single-image 3D reconstruction. It uses a neural network to… chtsy/buol — This is an official release of the paper BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D… dlr-rm/singleviewreconstruction — Maximilian Denninger and Rudolph Triebel. facebookresearch/meshrcnn — Code for the paper. google-research/corenet — CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image. It produces coherent… unclemedm/instpifu — This is the repository of our paper 'Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes' in…
ml-sharp is a neural radiance field framework designed for single-image 3D reconstruction. It uses a neural network to predict 3D geometry and appearance from a single photograph in a single feedforward pass. The system generates metric 3D scene representations and includes a real-time view synthesizer for producing high-resolution images of new viewpoints. It also features a camera trajectory renderer that creates video sequences by moving a virtual camera through the predicted 3D space. The project covers coordinate-based neural rendering, 3D Gaussian representation regression, and real-ti
This is an official release of the paper BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
Maximilian Denninger and Rudolph Triebel
