Ffhq face
WebSep 30, 2024 · FFHQ StyleGAN: StyleGAN model pretrained on FFHQ taken from rosinality with 1024x1024 output resolution. IR-SE50 Model: Pretrained IR-SE50 model taken from TreB1eN for use in our ID loss during training. VGG Age Classifier: VGG age classifier from DEX and fine-tuned on the FFHQ-Aging dataset for use in our aging loss WebNov 24, 2024 · FFHQ-UV is a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and …
Ffhq face
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WebFeb 15, 2024 · Face super-resolution guided by facial component heatmaps. In ECCV, pages 217–233, 2024. 1, 2, 4 [70] Xin Yu, Basura Fernando, Richard Hartley, and Fatih Porikli. Super-resolving very low-resolution face images with supplementary attributes. In CVPR, 2024. 2 [71] Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei … WebFlickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background.
WebApr 29, 2024 · To obtain the FFHQ dataset (datasets/ffhq), please refer to the Flickr-Faces-HQ repository. To obtain the CelebA-HQ ... (resolution between 4 to 8) — pose, hair, … WebApr 12, 2024 · Generative AI Toolset with GANs and Diffusion for Real-World Applications. JoliGEN provides easy-to-use generative AI for image to image transformations.. Main Features: JoliGEN support both GAN and Diffusion models for unpaired and paired image to image translation tasks, including domain and style adaptation with conservation of …
WebNov 25, 2024 · We present a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions, which are desired characteristics for rendering realistic 3D face models under different lighting conditions. The dataset is derived from a large-scale face image dataset … WebFFHQ-Text is a small-scale face image dataset with large-scale facial attributes, designed for text-to-face generation & manipulation, text-guided facial image manipulation, and other vision-related tasks. This dataset is an extension of the NVIDIA Flickr-Faces-HQ Dataset (FFHQ), which is the selected top 760 female FFHQ images that only contain one …
All data is hosted on Google Drive: High-level statistics: For use cases that require separate training and validation sets, we have appointed the first 60,000 images to be used for training and the remaining 10,000 for validation. In the StyleGAN paper, however, we used all 70,000 images for training. We have explicitly … See more Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): The dataset consists of 70,000 … See more The individual images were published in Flickr by their respective authors under either Creative Commons BY 2.0, Creative Commons BY-NC 2.0, Public Domain Mark 1.0, Public … See more The ffhq-dataset-v2.jsonfile contains the following information for each image in a machine-readable format: See more You can either grab the data directly from Google Drive or use the provided download script. The script makes things considerably easier by automatically downloading all the requested files, verifying their … See more
WebOct 16, 2024 · ECCV2024, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder - GitHub - TencentARC/VQFR: ECCV2024, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder ... Pre-train VQ codebook on FFHQ datasets. python -m torch.distributed.launch - … spacex linkWeb一些人脸图像数据集常被用在人脸超分辨率中,例如 FFHQ 和 CelebA-HQ。FFHQ(Flickr-Faces-HQ) 数据集是一个高质量人脸图像数据集,包含 70000 张 1024x1024 分辨率的高清人脸图像。CelebA-HQ 数据集是 CelebA 数据集的高清版本,包含 30000 张 1024x1024 分辨率的高清人脸图像。 下载 spacex machine learningWebTable of Contents. latest MMEditing 社区. 贡献代码; 生态项目(待更新) spacex launch wednesday