metadata

license: cc-by-nc-4.0
language:
  - en
tags:
  - shadow
  - controllable
  - synthetic
pretty_name: Controllable shadow generation benchmark
size_categories:
  - 1K<n<10K

Overview

This is the public synthetic test set for controllable shadow generation created by Jasper Research Team. The project page for the research introduced this dataset is available at this link. We created this dataset using Blender. It has 3 tracks: softness control, horizontal direction control and vertical direction control.

Example renders from the dataset below:

Softness control:

Horizontal direction control:

Vertical direction control:

Usage

The dataset is formatted to be used with WebDataset.

import matplotlib.pyplot as plt 
import webdataset as wds

# Create a data iterator
url = f"pipe:curl -s -L https://huggingface.co/datasets/jasperai/controllable-shadow-generation-benchmark/blob/main/controllable-shadow-generation-benchmark.tar"
data_iter = iter(wds.WebDataset(url))

# Sample from the dataset 
data = next(data_iter)

# Visualize the image, object mask, and object shadow 
_, axs = plt.subplots(1, 3, figsize=(15, 5))
axs[0].imshow(data['image.png'])
axs[0].set_title('Image')
axs[1].imshow(data['mask.png'])
axs[1].set_title('Mask')
axs[2].imshow(data['shadow.png'])
axs[2].set_title('Shadow')

# Print the metadata
print(data['metadata.json'])

Example output:

Example metadata:

{
  'track': 'softness_control', # Which track the image belongs to 
  'light_energy': 1000,        # Energy of the area light 
  'size': 2,                   # Size of the area light 
  'theta': 30.0,               # Polar coodinate of the area light 
  'phi': 0.0,                  # Azimuthal coodinate of the area light 
  'r': 8.0,                    # Radius of the sphere
  'light_location': '4.0,0.0,6.928203105926514', # Cartesian coordinate of the area light
  'samples': 512,              # We use Cycle rendering engine in Blender when creating the dataset.
                               # This parameter shows # of samples used by Cycle when rendering the image. 
  'resolution_x': 1024,        # Width of the image.
  'resolution_y': 1024         # Height of the image. 
}

Bibtex

If you use this dataset, please consider citing our paper:

@misc{
  title={Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data},
  author={Tasar, Onur and Chadebec, Clement and Aubin, Benjamin},
  year={2024},
  eprint={2412.11972},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}