Fine-tuning Diffusion Models for Enhancing Face Quality in Text-to-image Generation

Z Liao, Q Xie, C Chen, H Lu, Z Deng - arXiv preprint arXiv:2406.17100, 2024 - arxiv.org
Diffusion models (DMs) have achieved significant success in generating imaginative images
given textual descriptions. However, they are likely to fall short when it comes to real-life …

Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation

A Pelykh, OM Sincan, R Bowden - arXiv preprint arXiv:2403.10731, 2024 - arxiv.org
Recent years have seen significant progress in human image generation, particularly with
the advancements in diffusion models. However, existing diffusion methods encounter …

RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance

C Wang, P Liu, M Zhou, M Zeng, X Li, T Ge - arXiv preprint arXiv …, 2024 - arxiv.org
Although diffusion models can generate high-quality human images, their applications are
limited by the instability in generating hands with correct structures. Some previous works …