sahilchat/static-scene-test

static-scene-test ScanNet++ DSLR views packed for novel-view-synthesis training: 256x256 JPEG (quality 95, 4:4:4), stretched to square, with camera-to-world poses, normalized intrinsics, per-view train/test split codes and the COLMAP fisheye camera model so views can be undistorted without the raw dataset. Layout: train/ (856 scenes, official ScanNet++ NVS train split) and val/ (50 scenes). Each split holds the same scenes in five shard formats, 24 scenes per shard: wds/… See the full description on the dataset page: https://huggingface.co/datasets/sahilchat/static-scene-test.

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