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Back to unclemedm/instpifu

Projects sharing features with InstPIFu

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.

  • apple/ml-sharpapple avatar

    apple/ml-sharp

    7,638View on GitHub↗

    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

    Python
    View on GitHub↗7,638
  • chengzhag/deeppanocontextchengzhag avatar

    chengzhag/DeepPanoContext

    105View on GitHub↗

    Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang

    Python
    View on GitHub↗105
  • chengzhag/implicit3dunderstandingchengzhag avatar

    chengzhag/Implicit3DUnderstanding

    218View on GitHub↗

    Cheng Zhang, Zhaopeng Cui, Yinda Zhang*, Shuaicheng Liu, Bing Zeng, Marc Pollefeys

    Python
    View on GitHub↗218
  • chtsy/buolchtsy avatar

    chtsy/buol

    48View on GitHub↗

    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

    Python
    View on GitHub↗48
  • dlr-rm/singleviewreconstructionDLR-RM avatar

    DLR-RM/SingleViewReconstruction

    309View on GitHub↗

    Maximilian Denninger and Rudolph Triebel

    Python
    View on GitHub↗309

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  • facebookresearch/meshrcnnfacebookresearch avatar

    facebookresearch/meshrcnn

    1,160View on GitHub↗

    Code for the paper

    Python
    View on GitHub↗1,160
  • google-research/corenetgoogle-research avatar

    google-research/corenet

    122View on GitHub↗

    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…

    Python
    View on GitHub↗122
  • shubhtuls/factored3dS

    shubhtuls/factored3d

    0View on GitHub↗

    Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik.

    View on GitHub↗0
  • sunset1995/hohonetsunset1995 avatar

    sunset1995/HoHoNet

    125View on GitHub↗

    Code for our paper in CVPR 2021: HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features (paper, video).

    Jupyter Notebook
    View on GitHub↗125
  • vlkniaz/sszvlkniaz avatar

    vlkniaz/SSZ

    23View on GitHub↗

    `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.

    View on GitHub↗23
  • yinyunie/total3dunderstandingyinyunie avatar

    yinyunie/Total3DUnderstanding

    443View on GitHub↗

    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.

    Python
    View on GitHub↗443
  • aim-uofa/adelaidepthaim-uofa avatar

    aim-uofa/AdelaiDepth

    1,102View on GitHub↗

    AdelaiDepth is an open source toolbox for monocular depth prediction. Relevant work from our group is open-sourced here.

    Python
    View on GitHub↗1,102
  • yyong119/im2cadyyong119 avatar

    yyong119/IM2CAD

    25View on GitHub↗

    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.

    Python
    View on GitHub↗25