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Unbounded-360
The Unbounded-360 dataset is a large-scale indoor scene dataset used for training and testing the proposed MixRT method. -
ManifoldNeRF: Few-shot Novel View Synthesis
ManifoldNeRF is a few-shot novel view synthesis method that uses a manifold loss function to provide supervision for arbitrary viewpoints. -
NeRF realistic synthetic 360° dataset
NeRF realistic synthetic 360° dataset, used for training and testing NeRF models for few-shot view synthesis. -
LLFF, NeRF-360, and Mip-NeRF 360
The dataset used in the 2D-GUIDED 3D GAUSSIAN SEGMENTATION paper, which is a 3D Gaussian segmentation method guided by 2D segmentation maps. -
Real-world Forward-Facing
Real-world forward-facing dataset for view synthesis, containing 1008x756 images. -
Grapevine Dataset
A dataset for registration of real-world grapevine scans and a synthetic dataset with known ground truth registration. -
Zero-NeRF: Registration with Zero Overlap
A dataset for registration of real-world scenes from opposite sides with infinitesimal overlaps that cannot be accurately registered using prior methods. -
RealEstate-10K
The dataset used in the paper for training and testing the NeRF model. -
Noisy LLFF Synthetic
The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 virtual scenes, each with 400 images. -
Real-S and Real-L
Real-S and Real-L datasets for NeRF inpainting -
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
A dataset for generative object insertion in 3D scenes -
Zero-1-to-3
Zero-1-to-3: Zero-shot one image to 3D object. -
NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills
A system for applying sim2real approaches to “in the wild” scenes with realistic visuals, and to policies which rely on active perception using RGB cameras. -
ScanNet-GSReg
A scene-level dataset called ScanNet-GSReg, comprising 1379 scenes obtained from the ScanNet dataset and collect an in-the-wild dataset called GSReg, comprising 6 indoor and 4... -
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis