13 open-source projects similar to unclemedm/instpifu, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
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
Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang
Cheng Zhang, Zhaopeng Cui, Yinda Zhang*, Shuaicheng Liu, Bing Zeng, Marc Pollefeys
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
CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image. It produces coherent reconstructions, where all objects live in a single consistent 3D coordinate frame relative to the camera, and they do not intersect in 3D. You can find more information in the following…
Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik.
Code for our paper in CVPR 2021: HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features (paper, video).
`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.
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian Jun Zhang In CVPR, 2020.
AdelaiDepth is an open source toolbox for monocular depth prediction. Relevant work from our group is open-sourced here.
It's a repository trying to achieve the idea in paper IM2CAD . The main goal of this paper is to reconstruct a scene that is similar to the given photo of a room.