WebTable of Contents. latest MMEditing 社区. 贡献代码; 生态项目（待更新） 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
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WebApr 13, 2024 · Face Swapping (1) Voice Conversion (1) Self-Supervised Learning (1) Singing Voice Synthesis (1) Head Swapping (1) Instance Segmentation (1) Audio Generation (1) ... 이 실험을 위해 LSUN-Horse와 FFHQ 데이터셋에서 몇 개의 이미지를 가져오고 각 픽셀을 각각 21과 34 semantic class 중 하나에 수동으로 할당한다 ... WebThe FFHQ Dataset (Flickr-Faces-HQ) dataset is a high-quality image set containing 70,000 PNG images at 1024×1024 resolution, it has been put considerable effort to include as many attributes as possible and variations these, so expect a wide range of different ages and ethnicity. Importantly, this dataset is not intended for, and should not be ...
WebOct 28, 2024 · ├ ffhq.pkl: FFHQ at 1024x1024, trained using original StyleGAN2 ├ metfaces.pkl: MetFaces at 1024x1024, transfer learning from FFHQ using ADA ├ afhqcat.pkl: AFHQ Cat at 512x512, trained from scratch using ADA ├ afhqdog.pkl: AFHQ Dog at 512x512, trained from scratch using ADA WebNov 7, 2024 · We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN ( e.g., StyleGAN2) for blind face restoration.
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 … WebApr 10, 2024 · For producing fake images, StyleGAN and StyleGAN2 are trained by FFHQ images and also StarGAN and PGGAN are trained by CelebA images. The CelebA and FFHQ datasets are used as real images. The proposed approach reaches higher results in early epochs than other methods and increases the SoTA results by 0.4\%-7.9\% in the …
WebFeb 9, 2024 · How to implement GANs in face aging problem. This is an instruction about how to implement Face-Aging using GAN. Implement GANs is a little difficult. All codes are executed in TensorFlow 1.12 and CuDA 9.0. We recommend you to run in a Python environment. Install Cuda 9.0 (this can take a few minutes)
Web37 lines (29 sloc) 1.39 KB. Raw Blame. import os. import sys. import bz2. from keras. utils import get_file. from ffhq_dataset. face_alignment import image_align. from ffhq_dataset. landmarks_detector import LandmarksDetector. brights avenue rainhamAll 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 brightsaveWebWe provide further details on the experiments described in the main paper. Sec. 1 presents additional results of disentangled attribute manipulation and sequential attribute manipulation on real images of FFHQ dataset . Sec. 2 provides additional results of facial attribute editing on videos collected from FILMPAC library [1] and RAVDESS dataset . … brights auto centreWebApr 4, 2024 · Model Overview. StyleGAN3 pretrained models for FFHQ, AFHQv2 and MetFaces datasets. We observe that despite their hierarchical convolutional nature, the synthesis process of typical generative adversarial networks depends on absolute pixel coordinates in an unhealthy manner. This manifests itself as, e.g., detail appearing to be … brights backoe and excavatorWebFFHQ-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 … brightsave hair dryerWebOct 26, 2024 · Doron Adler fine-tuned a StyleGAN2 model with Disney characters and then mixed the layers with the real face model (FFHQ) and generated Disney characters based on real faces. Images sourced from Wikipedia under CC licenses: Scarlet Johansson, Benedict Cumberbatch, and Will Smith. Toonified images generated by Author. brights back up invertersWebFFHQ-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 … brights bail bonds