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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label TactileDreamFusion@87c8b764bcb2ec1139de0c6435f45ac1d9f283d1
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label TactileDreamFusion@87c8b764bcb2ec1139de0c6435f45ac1d9f283d1

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TactileDreamFusion Dataset

Data for Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation (NeurIPS 2024).

[Project Page] | [Code] | [Paper]

Contents

File Size Description
tactile_textures.zip ~175 MB Tactile texture triplets for 18 objects
base_meshes.zip ~26 MB Example base meshes for training

Tactile Texture Triplets

Each of the 18 objects contains three files representing the full processing pipeline from raw sensor capture to the final normal map:

tactile_textures/
  <ObjectName>/
    sensor_image.png       # Raw GelSight Mini sensor RGB (240x320)
    normal_patch.png       # Processed normal map patch (240x240)
    tiled_normal_map.png   # Seamless quilted normal map (~2560x2560)
File Description
sensor_image.png RGB image from the GelSight Mini tactile sensor, showing gel pad deformation when pressed against the object surface.
normal_patch.png Normal map computed from the processed depth patch. Raw depth is high-pass filtered (FFT), bilateral filtered, cropped to the contact region, and converted to a normal map.
tiled_normal_map.png Seamless tileable normal map synthesized via Image Quilting (Efros & Freeman, 2001). This is the file loaded by TactileDreamFusion during training.

Objects (18)

Object Texture Description
avocado Avocado skin
cantaloupe Cantaloupe melon rind
ClothBag Canvas bag fabric
CorkMat Cork mat surface
Corn Corn cob kernels
CuttingBoard Wood cutting board grain
Football American football leather
GoldGoat Metal sculpture surface
GreenSweater Knitted sweater (crochet)
MetalFrame Metal grid/mesh
Orange Orange peel
OrangeGlove Heat-resistant rubber with heart-shape pattern
PinkCloth Cleaning cloth fabric
Potato Potato skin
PurpleGlove Thin rubber with grid pattern
RedCloth1 Patterned table cloth
Strawberry Strawberry surface with seeds
TableTennisHandle Smooth wood grain

Normal Map Convention

Normal maps follow the OpenGL convention: x (red) = right, y (green) = up, z (blue) = outward. Stored as RGB PNG with values mapped from [-1, 1] to [0, 255] via (n * 0.5 + 0.5) * 255.

Usage

# Download via the provided script
cd TactileDreamFusion
bash scripts/download_hf_dataset.sh

# Or download manually
pip install huggingface_hub
python -c "
from huggingface_hub import snapshot_download
snapshot_download(repo_id='Ruihan28/TactileDreamFusion', repo_type='dataset', local_dir='data/')
"

After downloading, unzip into the data/ directory:

data/
  tactile_textures/
    avocado/
      sensor_image.png
      normal_patch.png
      tiled_normal_map.png
    ...
  base_meshes/
    ...

Citation

@inproceedings{gao2024exploiting,
      title     = {Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation},
      author    = {Gao, Ruihan and Deng, Kangle and Yang, Gengshan and Yuan, Wenzhen and Zhu, Jun-Yan},
      booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
      year      = {2024},
}
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Paper for Ruihan28/TactileDreamFusion