You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
You agree that this data will only be used for non-commercial purposes.
Log in or Sign Up to review the conditions and access this dataset content.
Complex Virtual Dressing Dataset (CVDD)
This dataset contains 516 pairs of virtual try-on test data in complex scenarios, as proposed in the paper "FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on".
The images in this dataset have varying resolutions. To ensure consistent testing under the same resolution, you can use the following code:
from PIL import Image
import math
def pad_and_resize(im, new_width=768, new_height=1024, pad_color=(255, 255, 255), mode=Image.LANCZOS):
old_width, old_height = im.size
ratio_w = new_width / old_width
ratio_h = new_height / old_height
if ratio_w < ratio_h:
new_size = (new_width, round(old_height * ratio_w))
else:
new_size = (round(old_width * ratio_h), new_height)
im_resized = im.resize(new_size, mode)
pad_w = math.ceil((new_width - im_resized.width) / 2)
pad_h = math.ceil((new_height - im_resized.height) / 2)
new_im = Image.new('RGB', (new_width, new_height), pad_color)
new_im.paste(im_resized, (pad_w, pad_h))
return new_im, pad_w, pad_h
def unpad_and_resize(padded_im, pad_w, pad_h, original_width, original_height):
width, height = padded_im.size
left = pad_w
top = pad_h
right = width - pad_w
bottom = height - pad_h
cropped_im = padded_im.crop((left, top, right, bottom))
resized_im = cropped_im.resize((original_width, original_height), Image.LANCZOS)
return resized_im
# resize image to same resolution(e.g., 768x1024)
image_size = image.size
image, pad_w, pad_h = pad_and_resize(image, 768, 1024)
# convert back to original size
image = unpad_and_resize(image, pad_w, pad_h, image_size[0], image_size[1])
- Downloads last month
- 211