The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Recent advancements in text-to-image generative models have demonstrated a remarkable
ability to capture a deep semantic understanding of images. In this work, we leverage this …

The objective of text-to-image (T2I) personalization is to customize a diffusion model to a
user-provided reference concept generating diverse images of the concept aligned with the …

Recently, video generation has attracted massive attention and yielded noticeable
outcomes. Concerning the characteristics of video, multi-text conditioning incorporating …

Low-Rank Adaptation~(LoRA), which updates the dense neural network layers with
pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning …

This paper addresses the challenge of example-based non-stationary texture synthesis. We
introduce a novel two-step approach wherein users first modify a reference texture using …

Video Diffusion Models have been developed for video generation, usually integrating text
and image conditioning to enhance control over the generated content. Despite the …

We present a method for multi-concept customization of pretrained text-to-video (T2V)
models. Intuitively, the multi-concept customized video can be derived from the (non-linear) …

With the development of generative models, the quality of generated content keeps
increasing. Recently, open-source models have made it surprisingly easy to manipulate and …