2 papers
cs.CV2024
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
Junyan Wang, Zhenhong Sun, Zhiyu Tan +5
Vanilla text-to-image diffusion models struggle with generating accurate human images, commonly resulting in imperfect anatomies such as unnatural postures or disproportionate limb…
cs.CV2023
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang, Xuanbai Chen, Siqi Chai +4
Text-to-image generative models often reflect the biases of the training data, leading to unequal representations of underrepresented groups. This study investigates inclusive text…