Controllable generation with text-to-image diffusion models: A survey

P Cao, F Zhou, Q Song, L Yang - arxiv preprint arxiv:2403.04279, 2024 - arxiv.org
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

Concept-centric personalization with large-scale diffusion priors

P Cao, L Yang, F Zhou, T Huang, Q Song - arxiv preprint arxiv …, 2023 - arxiv.org
Despite large-scale diffusion models being highly capable of generating diverse open-world
content, they still struggle to match the photorealism and fidelity of concept-specific …

What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion

P Cao, L Yang, D Liu, X Yang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently, inversion methods have been exploring the incorporation of additional high-rate
information from pretrained generators (such as weights or intermediate features) to improve …

Lifting by image–leveraging image cues for accurate 3d human pose estimation

F Zhou, J Yin, P Li - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
The" lifting from 2D pose" method has been the dominant approach to 3D Human Pose
Estimation (3DHPE) due to the powerful visual analysis ability of 2D pose estimators. Widely …

E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance

T Huang, P Cao, L Yang, C Liu, M Hu, Z Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
Diffusion-based image editing is a composite process of preserving the source image
content and generating new content or applying modifications. While current editing …

One Shot Face Image Style Transfer Method Based on GAN

W He - 2023 International Conference on Image Processing …, 2023 - ieeexplore.ieee.org
Style transformation on face images has traditionally been a popular research area in the
field of computer vision, and its applications are quite extensive. Currently, the more …