gsplat
gsplat is an open-source library for CUDA accelerated rasterization of gaussians with python bindings. It is inspired by the 3DGS paper, but it is faster, more memory efficient, and with a growing list of new features. In NerfBaselines, the method was modified to enable appearance optimization, to support sampling masks, and to support setting background color (which is required for the Blender dataset).
Mip-NeRF 360
Mip-NeRF 360 is a collection of four indoor and five outdoor object-centric scenes. The camera trajectory is an orbit around the object with fixed elevation and radius. The test set takes each n-th frame of the trajectory as test views.
Blender
Blender (nerf-synthetic) is a synthetic dataset used to benchmark NeRF methods. It consists of 8 scenes of an object placed on a white background. Cameras are placed on a semi-sphere around the object. Scenes are licensed under various CC licenses.
Photo Tourism
Photo Tourism is a dataset of images of famous landmarks, such as the Sacre Coeur, the Trevi Fountain, and the Brandenburg Gate. The images were captured by tourist at different times of the day and year, images have varying lighting conditions and occlusions. The evaluation protocol is based on NeRF-W, where the image appearance embeddings are optimized on the left side of the image and the metrics are computed on the right side of the image.