Datasets:
Sync Image to 3D single object
#4
by Rapidata-Bot - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- README.md +18 -18
- data/{train-00000-of-00116.parquet → train-00000.parquet} +2 -2
- data/{train-00001-of-00116.parquet → train-00001.parquet} +2 -2
- data/{train-00002-of-00116.parquet → train-00002.parquet} +2 -2
- data/{train-00003-of-00116.parquet → train-00003.parquet} +2 -2
- data/train-00004-of-00116.parquet +0 -3
- data/train-00004.parquet +3 -0
- data/train-00005-of-00116.parquet +0 -3
- data/train-00005.parquet +3 -0
- data/train-00006-of-00116.parquet +0 -3
- data/train-00006.parquet +3 -0
- data/train-00007-of-00116.parquet +0 -3
- data/train-00007.parquet +3 -0
- data/train-00008-of-00116.parquet +0 -3
- data/train-00008.parquet +3 -0
- data/train-00009-of-00116.parquet +0 -3
- data/train-00009.parquet +3 -0
- data/train-00010-of-00116.parquet +0 -3
- data/train-00010.parquet +3 -0
- data/train-00011-of-00116.parquet +0 -3
- data/train-00011.parquet +3 -0
- data/train-00012-of-00116.parquet +0 -3
- data/train-00012.parquet +3 -0
- data/train-00013-of-00116.parquet +0 -3
- data/train-00013.parquet +3 -0
- data/train-00014-of-00116.parquet +0 -3
- data/train-00014.parquet +3 -0
- data/train-00015-of-00116.parquet +0 -3
- data/train-00015.parquet +3 -0
- data/train-00016-of-00116.parquet +0 -3
- data/train-00016.parquet +3 -0
- data/train-00017-of-00116.parquet +0 -3
- data/train-00017.parquet +3 -0
- data/train-00018-of-00116.parquet +0 -3
- data/train-00018.parquet +3 -0
- data/train-00019-of-00116.parquet +0 -3
- data/train-00019.parquet +3 -0
- data/train-00020-of-00116.parquet +0 -3
- data/train-00020.parquet +3 -0
- data/train-00021-of-00116.parquet +0 -3
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- data/train-00022-of-00116.parquet +0 -3
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README.md
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@@ -49,10 +49,10 @@ dataset_info:
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Built by [Rapidata](https://www.rapidata.ai).
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We gave **<!-- auto:models -->
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reconstruction is better. Every model turned each image into a textured 3D asset, we rendered all assets the
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same way, and annotators compared two of them at a time next to the input image. This dataset holds
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**<!-- auto:rows -->
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behind them, collected with the [Rapidata Python SDK](https://docs.rapidata.ai). There are no automated metrics in it.
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Each comparison was judged on one of two questions:
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| --- | --- |
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| Comparisons (rows) | **<!-- auto:rows -->
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| Human votes | **<!-- auto:votes -->
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| Models | **<!-- auto:models -->
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| Input images | **357**, each rendered twice (grey and textured), so **<!-- auto:prompts -->714<!-- /auto:prompts -->** prompts |
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| Turntable videos | 10 s, 240 frames at 24 fps, 720×720 |
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| Annotators | a dedicated audience that passed a 3D screening test (see below) |
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@@ -123,20 +123,20 @@ numbers update with every sync of this dataset; the live version is on
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| Model | Overall | Geometry | Appearance |
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| --- | --- | --- | --- |
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| Hi3D v3.0 | <!-- auto:elo:overall:Hi3D v3.0 -->
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| Meshy v7.1 | <!-- auto:elo:overall:Meshy v7.1 -->
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| Meshy v7 | <!-- auto:elo:overall:Meshy v7 -->
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| Tripo H3.1 | <!-- auto:elo:overall:Tripo H3.1 -->
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| Hunyuan3D 3.1 Pro | <!-- auto:elo:overall:Hunyuan3D 3.1 Pro -->
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| Seed3D 2.0 | <!-- auto:elo:overall:Seed3D 2.0 -->
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| TRELLIS.2 | <!-- auto:elo:overall:TRELLIS.2 -->
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| Rodin Gen-2.5 High | <!-- auto:elo:overall:Rodin Gen-2.5 High -->
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| Tripo P2 | <!-- auto:elo:overall:Tripo P2 -->908 (#9)<!-- /auto:elo:overall:Tripo P2 --> | <!-- auto:elo:Geometry:Tripo P2 -->750 (#11)<!-- /auto:elo:Geometry:Tripo P2 --> | <!-- auto:elo:Appearance:Tripo P2 -->1066 (#7)<!-- /auto:elo:Appearance:Tripo P2 --> |
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| Rodin Gen-2.5 Low | <!-- auto:elo:overall:Rodin Gen-2.5 Low -->
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| Pixal3D | <!-- auto:elo:overall:Pixal3D -->
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| Hunyuan3D 2.1 | <!-- auto:elo:overall:Hunyuan3D 2.1 -->
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| TRELLIS | <!-- auto:elo:overall:TRELLIS -->
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| SAM 3D Objects | <!-- auto:elo:overall:SAM 3D Objects -->
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Some models move a lot between the two columns. Rodin Gen-2.5 High is 6th on Geometry and 10th on
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Appearance: good shapes, weaker textures. Tripo P2 goes the other way.
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Built by [Rapidata](https://www.rapidata.ai).
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We gave **<!-- auto:models -->13<!-- /auto:models --> image-to-3D models** the same single image and asked people which
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reconstruction is better. Every model turned each image into a textured 3D asset, we rendered all assets the
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same way, and annotators compared two of them at a time next to the input image. This dataset holds
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**<!-- auto:rows -->49,379<!-- /auto:rows --> of those comparisons** and all **<!-- auto:votes -->263,258<!-- /auto:votes --> votes**
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behind them, collected with the [Rapidata Python SDK](https://docs.rapidata.ai). There are no automated metrics in it.
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Each comparison was judged on one of two questions:
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| --- | --- |
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| Comparisons (rows) | **<!-- auto:rows -->49,379<!-- /auto:rows -->** |
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| Human votes | **<!-- auto:votes -->263,258<!-- /auto:votes -->**, at least 5 per comparison |
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| Models | **<!-- auto:models -->13<!-- /auto:models -->** |
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| Input images | **357**, each rendered twice (grey and textured), so **<!-- auto:prompts -->714<!-- /auto:prompts -->** prompts |
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| Turntable videos | 10 s, 240 frames at 24 fps, 720×720 |
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| Annotators | a dedicated audience that passed a 3D screening test (see below) |
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| Model | Overall | Geometry | Appearance |
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| --- | --- | --- | --- |
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+
| Hi3D v3.0 | <!-- auto:elo:overall:Hi3D v3.0 -->1366 (#1)<!-- /auto:elo:overall:Hi3D v3.0 --> | <!-- auto:elo:Geometry:Hi3D v3.0 -->1304 (#1)<!-- /auto:elo:Geometry:Hi3D v3.0 --> | <!-- auto:elo:Appearance:Hi3D v3.0 -->1441 (#1)<!-- /auto:elo:Appearance:Hi3D v3.0 --> |
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| Meshy v7.1 | <!-- auto:elo:overall:Meshy v7.1 -->1299 (#2)<!-- /auto:elo:overall:Meshy v7.1 --> | <!-- auto:elo:Geometry:Meshy v7.1 -->1249 (#2)<!-- /auto:elo:Geometry:Meshy v7.1 --> | <!-- auto:elo:Appearance:Meshy v7.1 -->1358 (#2)<!-- /auto:elo:Appearance:Meshy v7.1 --> |
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| Meshy v7 | <!-- auto:elo:overall:Meshy v7 -->1288 (#3)<!-- /auto:elo:overall:Meshy v7 --> | <!-- auto:elo:Geometry:Meshy v7 -->1236 (#3)<!-- /auto:elo:Geometry:Meshy v7 --> | <!-- auto:elo:Appearance:Meshy v7 -->1349 (#3)<!-- /auto:elo:Appearance:Meshy v7 --> |
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| Tripo H3.1 | <!-- auto:elo:overall:Tripo H3.1 -->1261 (#4)<!-- /auto:elo:overall:Tripo H3.1 --> | <!-- auto:elo:Geometry:Tripo H3.1 -->1225 (#4)<!-- /auto:elo:Geometry:Tripo H3.1 --> | <!-- auto:elo:Appearance:Tripo H3.1 -->1305 (#4)<!-- /auto:elo:Appearance:Tripo H3.1 --> |
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| Hunyuan3D 3.1 Pro | <!-- auto:elo:overall:Hunyuan3D 3.1 Pro -->1145 (#5)<!-- /auto:elo:overall:Hunyuan3D 3.1 Pro --> | <!-- auto:elo:Geometry:Hunyuan3D 3.1 Pro -->1103 (#6)<!-- /auto:elo:Geometry:Hunyuan3D 3.1 Pro --> | <!-- auto:elo:Appearance:Hunyuan3D 3.1 Pro -->1192 (#5)<!-- /auto:elo:Appearance:Hunyuan3D 3.1 Pro --> |
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| Seed3D 2.0 | <!-- auto:elo:overall:Seed3D 2.0 -->1098 (#6)<!-- /auto:elo:overall:Seed3D 2.0 --> | <!-- auto:elo:Geometry:Seed3D 2.0 -->1027 (#8)<!-- /auto:elo:Geometry:Seed3D 2.0 --> | <!-- auto:elo:Appearance:Seed3D 2.0 -->1175 (#6)<!-- /auto:elo:Appearance:Seed3D 2.0 --> |
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| TRELLIS.2 | <!-- auto:elo:overall:TRELLIS.2 -->1005 (#7)<!-- /auto:elo:overall:TRELLIS.2 --> | <!-- auto:elo:Geometry:TRELLIS.2 -->1067 (#7)<!-- /auto:elo:Geometry:TRELLIS.2 --> | <!-- auto:elo:Appearance:TRELLIS.2 -->940 (#7)<!-- /auto:elo:Appearance:TRELLIS.2 --> |
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| Rodin Gen-2.5 High | <!-- auto:elo:overall:Rodin Gen-2.5 High -->957 (#8)<!-- /auto:elo:overall:Rodin Gen-2.5 High --> | <!-- auto:elo:Geometry:Rodin Gen-2.5 High -->1116 (#5)<!-- /auto:elo:Geometry:Rodin Gen-2.5 High --> | <!-- auto:elo:Appearance:Rodin Gen-2.5 High -->786 (#9)<!-- /auto:elo:Appearance:Rodin Gen-2.5 High --> |
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| Tripo P2 | <!-- auto:elo:overall:Tripo P2 -->908 (#9)<!-- /auto:elo:overall:Tripo P2 --> | <!-- auto:elo:Geometry:Tripo P2 -->750 (#11)<!-- /auto:elo:Geometry:Tripo P2 --> | <!-- auto:elo:Appearance:Tripo P2 -->1066 (#7)<!-- /auto:elo:Appearance:Tripo P2 --> |
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| Rodin Gen-2.5 Low | <!-- auto:elo:overall:Rodin Gen-2.5 Low -->773 (#9)<!-- /auto:elo:overall:Rodin Gen-2.5 Low --> | <!-- auto:elo:Geometry:Rodin Gen-2.5 Low -->838 (#9)<!-- /auto:elo:Geometry:Rodin Gen-2.5 Low --> | <!-- auto:elo:Appearance:Rodin Gen-2.5 Low -->699 (#11)<!-- /auto:elo:Appearance:Rodin Gen-2.5 Low --> |
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| Pixal3D | <!-- auto:elo:overall:Pixal3D -->755 (#10)<!-- /auto:elo:overall:Pixal3D --> | <!-- auto:elo:Geometry:Pixal3D -->706 (#11)<!-- /auto:elo:Geometry:Pixal3D --> | <!-- auto:elo:Appearance:Pixal3D -->801 (#8)<!-- /auto:elo:Appearance:Pixal3D --> |
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| Hunyuan3D 2.1 | <!-- auto:elo:overall:Hunyuan3D 2.1 -->751 (#11)<!-- /auto:elo:overall:Hunyuan3D 2.1 --> | <!-- auto:elo:Geometry:Hunyuan3D 2.1 -->745 (#10)<!-- /auto:elo:Geometry:Hunyuan3D 2.1 --> | <!-- auto:elo:Appearance:Hunyuan3D 2.1 -->751 (#10)<!-- /auto:elo:Appearance:Hunyuan3D 2.1 --> |
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| TRELLIS | <!-- auto:elo:overall:TRELLIS -->653 (#12)<!-- /auto:elo:overall:TRELLIS --> | <!-- auto:elo:Geometry:TRELLIS -->683 (#13)<!-- /auto:elo:Geometry:TRELLIS --> | <!-- auto:elo:Appearance:TRELLIS -->616 (#12)<!-- /auto:elo:Appearance:TRELLIS --> |
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| SAM 3D Objects | <!-- auto:elo:overall:SAM 3D Objects -->648 (#13)<!-- /auto:elo:overall:SAM 3D Objects --> | <!-- auto:elo:Geometry:SAM 3D Objects -->699 (#12)<!-- /auto:elo:Geometry:SAM 3D Objects --> | <!-- auto:elo:Appearance:SAM 3D Objects -->587 (#13)<!-- /auto:elo:Appearance:SAM 3D Objects --> |
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Some models move a lot between the two columns. Rodin Gen-2.5 High is 6th on Geometry and 10th on
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Appearance: good shapes, weaker textures. Tripo P2 goes the other way.
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data/{train-00000-of-00116.parquet → train-00000.parquet}
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