Upload DATA_MANIFEST.json with huggingface_hub
Browse files- DATA_MANIFEST.json +74 -3
DATA_MANIFEST.json
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@@ -2,13 +2,12 @@
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"release": "AnchorSplat processed third-party datasets",
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"date": "2026-07-03",
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"layout": "Extract archives into the AnchorSplat repository data/ directory.",
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"note": "Official processed third-party release for
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"datasets": [
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{
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"name": "mvimgnet_supergaussian_4x_downsampled_lr",
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"description": "MVImgNet processed with SuperGaussian 4x and downsampled low-resolution inputs; used for the ECCV 2026 rebuttal MVImgNet zero-shot table.",
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"archive": "mvimgnet_supergaussian_4x_downsampled_lr.tar.zst",
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"sha256": "66c6b43d99ce8bc8230eeca3ee9a61cb710597799b9afa9ae34f90e704bb8be0",
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"anchor_splat_config": "configs/dataset/mvimgnet_supergaussian_4x_downsampled_lr.gin",
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"scene_count": 15,
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"file_count": 1047,
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@@ -29,7 +28,79 @@
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"0__3a00ca14",
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"0__3c005f04"
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],
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-
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}
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]
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}
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"release": "AnchorSplat processed third-party datasets",
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"date": "2026-07-03",
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"layout": "Extract archives into the AnchorSplat repository data/ directory.",
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"note": "Official processed third-party release for ECCV 2026 MVImgNet rebuttal and NeRF-Synthetic zero-shot evaluation.",
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"datasets": [
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{
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"name": "mvimgnet_supergaussian_4x_downsampled_lr",
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"description": "MVImgNet processed with SuperGaussian 4x and downsampled low-resolution inputs; used for the ECCV 2026 rebuttal MVImgNet zero-shot table.",
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"archive": "mvimgnet_supergaussian_4x_downsampled_lr.tar.zst",
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"anchor_splat_config": "configs/dataset/mvimgnet_supergaussian_4x_downsampled_lr.gin",
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"scene_count": 15,
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"file_count": 1047,
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"0__3a00ca14",
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"0__3c005f04"
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],
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"verified_metrics": {
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"input_3dgs": {
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"psnr": 22.1875,
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"ssim": 0.7318,
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"lpips": 0.2408
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},
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"anchorsplat_1x": {
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"psnr": 26.42,
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"ssim": 0.847,
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"lpips": 0.199
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},
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"anchorsplat_20x": {
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"psnr": 27.36,
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"ssim": 0.862,
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"lpips": 0.192
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}
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},
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"missing_required_files": {},
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"sha256": "66c6b43d99ce8bc8230eeca3ee9a61cb710597799b9afa9ae34f90e704bb8be0"
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},
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{
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"name": "nerf_synthetic_lowres_3dgs",
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"description": "Non-sparse NeRF-Synthetic processed low-resolution 3DGS inputs paired with 800x800 GT views; used for the ECCV 2026 Table 2 zero-shot evaluation.",
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"archive": "nerf_synthetic_lowres_3dgs.tar.zst",
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"anchor_splat_config": "configs/dataset/nerf_synthetic_lowres_3dgs.gin",
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"scene_count": 8,
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"file_count": 1640,
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"scenes": [
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"chair",
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"drums",
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"ficus",
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"hotdog",
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"lego",
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"materials",
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"mic",
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"ship"
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],
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"verified_metrics": {
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"input_3dgs": {
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"psnr": 23.3129,
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"ssim": 0.8731,
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"lpips": 0.0974
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},
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"anchorsplat_1x": {
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"psnr": 28.3618,
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"ssim": 0.9319,
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"lpips": 0.0851
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},
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"anchorsplat_20x": {
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"psnr": 28.7172,
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"ssim": 0.9348,
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"lpips": 0.073
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}
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},
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"paper_table2_reference": {
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"input_3dgs": {
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"psnr": 23.3,
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"ssim": 0.872,
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"lpips": 0.114
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},
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"anchorsplat": {
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"psnr": 28.97,
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"ssim": 0.935,
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"lpips": 0.077
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}
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},
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"notes": [
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"non-sparse split",
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"black background/default alpha compositing",
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"do not use sparse or bicubic folders for AnchorSplat Table 2 input"
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],
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"missing_required_files": {},
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"sha256": "805ebeca17aea04c61ec8ba8713dd870b5defa106282c4799ffdc2e01e932d75"
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}
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]
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}
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