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hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
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000000_00000084
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
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000000_00000085
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000086
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000087
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000088
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000089
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
{ "camera_matrices": { "extrinsics": [ [ -0.9572128463800519, -0.28938455412827063, -1.3658149792262716e-17, 1.2796115731416366e-8 ], [ -0.20462577287029873, 0.6768516494204428, -0.7071067634858427, 9.711740796304181e-8 ], [ 0.2046257890251271, -0.67685170680546, -0.7071067634858427, 1.6194553268154024 ], [ 0, 0, 0, 1 ] ], "intrinsics": [ [ 1.3737387657165527, 0, 0.5 ], [ 0, 1.3737387657165527, 0.5 ], [ 0, 0, 1 ] ] }, "frame_id": 90, "sequence_id": "000000" }
000000_00000090
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000091
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000092
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000093
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000094
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000095
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000096
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000097
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
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000000_00000098
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
{ "max_depth": 2.37890625 }
{ "camera_matrices": { "extrinsics": [ [ -0.886984818383674, -0.4617985760405542, 1.9463354924276953e-8, 3.818710337187495e-8 ], [ -0.3265408894689138, 0.6271928957669188, -0.7071068197223692, 1.5498924626173583e-7 ], [ 0.3265408983363441, -0.627193025548532, -0.707106766853955, 1.6194554054534478 ], [ 0, 0, 0, 1 ] ], "intrinsics": [ [ 1.3737387657165527, 0, 0.5 ], [ 0, 1.3737387657165527, 0.5 ], [ 0, 0, 1 ] ] }, "frame_id": 99, "sequence_id": "000000" }
000000_00000099
hf://datasets/Daniellesry/TransPhy3D@71bfc48fbfccda458c7dd87c9e1a02795a907b56/train/000000_materials.000000.tar
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TransPhy3D

A dataset used in Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation

Introduction

this dataset aim to provide the first transparent-object oriented video dataset with perfect depth and normal label, and diverse categories and shape. The details of this dataset please refer to our paper: DKT

Quick Start

python load_demo.py  --data_path test/0826_0006_materials.000000.tar  --output outputs

the results will be saved at outputs as following:

outputs/
|-- output_depth.mp4
|-- output_normal.mp4
`-- output_rgb.mp4

Data Structure

|-- parametric_train #* the shape-rich dataset
    |-- test
        |-- 1_materials.000000.tar
        |-- ...
    |-- training
    `-- validation
|-- test #* TransPhy3D-Test
`-- train #* the category-rich dataset

cite

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