68 datasets found

Groups: 3D Reconstruction Formats: JSON

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  • NeRFBuster

    A real-world dataset captured by mobile phones and containing quite complex trajectories.

  • CF-NeRF

    A novel end-to-end method that does not require prior camera parameters to deal with image sequences with complex trajectories.

  • Kubric Dataset

    The Kubric dataset offers training and validation data across various difficulty levels, featuring videos of objects interacting with each other.

  • Scannet

    The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

  • KITTI Vision Benchmark Suite

    The KITTI Vision Benchmark Suite is a dataset used for object detection and tracking in autonomous vehicles.

  • Zero-1-to-3

    Zero-1-to-3: Zero-shot one image to 3D object.

  • Middlebury

    The Middlebury dataset is a benchmark for stereo vision and 3D reconstruction.

  • Shapenet

    Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

  • DeepFashion3D

    DeepFashion3D is a dataset for 3D garment reconstruction from single images.

  • NYUv2

    Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

  • Pix3D

    The Pix3D dataset is a collection of 3D models with RGB images, used for training and testing 3D object recognition and generation tasks.

  • Tanks and Temples

    Neural Radiance Fields (NeRFs) model a 3D scene as a volumetric function, which can be rendered from arbitrary viewpoints to generate highly-realistic images.

  • DTU MVS Dataset and Local Light Field Fusion Dataset

    The DTU MVS Dataset and the Local Light Field Fusion Dataset are used to evaluate the performance of the proposed GARF model.

  • ScanNet Dataset

    The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

  • Pascal VOC

    Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

  • Objaverse

    The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...

  • Synthetic-NSVF

    The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

  • Synthetic-NeRF

    The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

  • FAUST

    The dataset FAUST contains 10 different bodies in 10 different poses. The irregular surface meshes have 6890 vertices. The dataset is used to evaluate the reconstruction quality...

  • NeRF

    NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...