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- Studies of styleganhuman
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
- System requirements
- •The original code bases are stylegan (tensorflow), stylegan2-ada (pytorch), stylegan3 (pytorch), released by NVidia •We tested in Python 3.8.5 and PyTorch 1.9…
- Installation See more
- Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Chan…
- [Demo Video] | [Proje… See more
- The first version SHHQ-1.0, with 40K images is released. To download and us…
- （We are currently facing large incoming applications, and we … See more
- •[13/02/2023] 🌟🌟🌟 Now the human parsing and keypoints for SHHQ-1.0 are available!
- •[14/12/2022] 🔥🔥🔥We have released 3DHumanGAN, which is towards photo-…
- •[28/09/2022] 🔥🔥🔥We have released a high-quality 3D human gen… See more
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StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebStyleGAN-Human, style-mixing with low level features. Watch on. 0:00 / 0:11. Use low-level styles from reference to control coarse features (e.g. poses) in source images. Use mid-level styles from reference to control middle features (e.g. …
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebApr 25, 2022 · StyleGAN-Human: A Data-Centric Odyssey of Human Generation. Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu. Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry. Existing studies in …
- Cite as: arXiv:2204.11823 [cs.CV]
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebFeb 28, 2024 · We propose the Stylish-Humans-HQ Dataset (SHHQ), which contains 230 𝐾 clean full-body images with a resolution of 1024 512 at least and up to 2240 1920. The SHHQ dataset lays the foundation for extensive experiments on …
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebPreview. Hover mouse over the image for a zoomed-in view. Click here to download the preview version with 100 images randomly sampled from SHHQ-1.0. Annotation. SHHQ-1.0 comes with machine-calculated segmentation masks, manually annotated human parsing labels, and 2D body keypoints. Download instruction for full SHHQ-1.0 dataset:
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebExisting studies in this field mainly focus on “network engineering” such as designing new components and objective functions. This work takes a data-centric perspective and investigates multiple critical aspects in “data engineering”, which we believe would complement the current practice.
WebWith good “data en-gineering” practices, the StyleGAN-Human model could generate high-resolution photo-realistic human images as presented. Zoom in for the best view. Abstract. Unconditional human image generation is an important task in vision and graphics, enabling various applications in the creative in-dustry.
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebApr 25, 2022 · StyleGAN-Human: A Data-Centric Odyssey of Human Generation. 25 Apr 2022 · Jianglin Fu , Shikai Li , Yuming Jiang , Kwan-Yee Lin , Chen Qian , Chen Change Loy , Wayne Wu , Ziwei Liu · Edit social preview. Unconditional human image generation is an important task in vision and graphics, which enables various applications in the …
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebOct 21, 2022 · StyleGAN-Human: A Data-Centric Odyssey of Human Generation | Request PDF. Home. Classical Literature. Literature. Odyssey. Chapter. StyleGAN-Human: A Data-Centric Odyssey of Human...
StyleGAN-Human: A Data-Centric Odyssey of Human …
WebApr 25, 2022 · StyleGAN-Human: A Data-Centric Odyssey of Human Generation | DeepAI. 04/25/2022. ∙. by Jianglin Fu, et al. ∙. 8. ∙. share. Unconditional human image generation is an important task in vision and …
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebStyleGAN-Human: A Data-Centric Odyssey of Human Generation. Fu, Jianglin. ; Li, Shikai. ; Jiang, Yuming. ; Lin, Kwan-Yee. ; Qian, Chen. ; Change Loy, Chen. ; Wu, Wayne. ; Liu, Ziwei. Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry.
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebApr 25, 2022 · Published in European Conference on… 25 April 2022. Computer Science. TLDR. This work takes a data-centric perspective and investigates multiple critical aspects in data engineering for StyleGAN-based human generation, namely data size, data distribution, and data alignment. Expand.
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebOct 21, 2022 · To investigate the key factors in unconditional human generation task from a data-centric perspective, we propose a large-scale, high-quality, and diverse dataset, Stylish-Humans-HQ (SHHQ). In this section, we first present the data collection and preprocessing (Sect. 3.1 ), in which we construct the SHHQ dataset.
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
WebApr 25, 2022 · StyleGAN-Human: A Data-Centric Odyssey of Human Generation. April 2022. Authors: Jianglin Fu. Shikai Li. Yuming Jiang. Kwan-Yee Lin. Peking University. Show all 8 authors. Preprints and...
StyleGAN-Human Dataset | Papers With Code
WebA large-scale human image dataset with over 230K samples capturing diverse poses and textures. No benchmarks yet. Start a new benchmark or link an existing one .
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative …
WebFeb 2, 2023 · [2302.01162] Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors. Computer Science > Computer Vision and Pattern Recognition. [Submitted on 2 Feb 2023 ( v1 ), …
WebStyleGAN-Human: A Data-Centric Odyssey of Human Generation Jianglin Fu 1, Shikai Li , Yuming Jiang2, Kwan-Yee Lin , Chen Qian1, Chen Change Loy 2,WayneWu1,3(B), and Ziwei Liu 1 SenseTime Research, Beijing, China [email protected] 2 S-Lab, Nanyang Technological University, Singapore, Singapore 3 Shanghai AI Laboratory, …
StyleGAN-Human/docs/Dataset.md at main - GitHub
Web99 lines (68 loc) · 5.98 KB. SHHQ Dataset. Overview. SHHQ is a dataset with high-quality full-body human images in a resolution of 1024 × 512. Since we need to follow a rigorous legal review in our institute, we can not release all of the data at once. For now, SHHQ-1.0 with 40K images is released! More data will be released in the later versions.
StyleGAN-Human - a Hugging Face Space by hysts
WebStyleGAN-Human. like 35. Running App Files Files Community Discover amazing ML apps made by the community. Spaces. hysts / StyleGAN-Human. like 35. Running . App ...
StyleHumanCLIP: Text-guided Garment Manipulation for …
WebMay 26, 2023 · Existing StyleGAN-based methods suffer from handling the rich diversity of garments and body shapes and poses. We propose a framework for text-guided full-body human image synthesis via an attention-based latent code mapper, which enables more disentangled control of StyleGAN than existing mappers.
StyleGAN - Wikipedia
WebStyleGAN. An image generated by a StyleGAN that looks deceptively like a portrait of a young woman. This image was generated by an artificial intelligence based on an analysis of portraits. StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [1] and made source available in February 2019.
stylegan-human (stylegan-human) · GitHub
WebUpdates. [07/04/2024] 🌟🌟🌟 Check out our new work in human foundation model -- CosmicMan at CVPR 2024! [13/02/2023] 🌟🌟🌟 Now the human parsing and keypoints for SHHQ-1.0 are available! [14/12/2022] 🔥🔥🔥 We have released 3DHumanGAN, which is towards photo-realistic 3D-aware human generation! 🔥🔥🔥.
public-data/StyleGAN-Human · Hugging Face
WebStyleGAN-Human. like. 0. arxiv: 2204.11823. Model card Files Community. Use with library. Edit model card. YAML Metadata Warning: empty or missing yaml metadata in repo card ( https://huggingface.co/docs/hub/model-cards#model-card-metadata) StyleGAN-Human.
StyleGAN-Based Advanced Semantic Segment Encoder for …
WebMay 1, 2024 · StyleGAN is a widely used model in various AI domains that generates high-quality images. It has many advantages but has the disadvantage of per-pixel noise inputs. These noise inputs used from StyleGAN are independent of location information and have a negative impact on natural location information learning because random noise is …
StyleGAN-Human/README.md at main - GitHub
WebApr 22, 2022 · StyleGAN-Human. / README.md. History. 240 lines (174 loc) · 15.8 KB. StyleGAN-Human: A Data-Centric Odyssey of Human Generation. Abstract: Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry.
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