Technical report will be released before May.Data alignment and real-image inversion scripts are released.SHHQ-1.0 dataset with 40K images is released! ✨.🔥 🔥 🔥 We have released a high-quality 3D human generative model EVA3D! 🔥 🔥 🔥.🔥 🔥 🔥 We have released 3DHumanGAN, which is towards photo-realistic 3D-aware human generation!🔥🔥🔥.🌟 🌟 🌟 Now the human parsing and keypoints for SHHQ-1.0 are available!.Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, and Ziwei Liu Keyword: Human Image Generation, Data-Centric, StyleGAN In addition, a model zoo and human editing applications are demonstrated to facilitate future research in the community. 3) Human GAN models with body centers for alignment outperform models trained using face centers or pelvis points as alignment anchors. 2) A balanced training set helps improve the generation quality with rare face poses compared to the long-tailed counterpart, whereas simply balancing the clothing texture distribution does not effectively bring an improvement. these aspects: 1) Large-scale data, more than 40K images, are needed to train a high-fidelity unconditional human generation model with vanilla StyleGAN. Extensive experiments reveal several valuable observations w.r.t. Equipped with this large dataset, we rigorously investigate three essential factors in data engineering for StyleGAN-based human generation, namely data size, data distribution, and data alignment. To facilitate a comprehensive study, we collect and annotate a large-scale human image dataset with over 230K samples capturing diverse poses and textures. This work takes a data-centric perspective and investigates multiple critical aspects in 'data engineering', which we believe would complement the current practice. Existing studies in this field mainly focus on 'network engineering' such as designing new components and objective functions.

StyleGAN-Human: A Data-Centric Odyssey of Human GenerationĪbstract: Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry.

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