Diffusion models arise as a powerful generative tool recently. Despite the great progress,
existing diffusion models mainly focus on uni-modal control, ie, the diffusion process is …

This work presents FaceComposer, a unified generative model that accomplishes a variety
of facial content creation tasks, including text-conditioned face synthesis, text-guided face …

High quality facial image editing is a challenging problem in the movie post-production
industry, requiring a high degree of control and identity preservation. Previous works that …

In this paper, we propose DiffSwap, a diffusion model based framework for high-fidelity and
controllable face swapping. Unlike previous work that relies on carefully designed network …

Face editing generates a face image with the target attributes without changing the identity
or other information. Current methods have achieved considerable performance; however …

Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …

Facial image manipulation has achieved great progress in recent years. However, previous
methods either operate on a predefined set of face attributes or leave users little freedom to …

Fashion illustration is used by designers to communicate their vision and to bring the design
idea from conceptualization to realization, showing how clothes interact with the human …

Cycle consistency is widely used for face editing. However, we observe that the generator
tends to find a tricky way to hide information from the original image to satisfy the constraint …

Recent facial image synthesis methods have been mainly based on conditional generative
models. Sketch-based conditions can effectively describe the geometry of faces, including …