21 citations · 37 across the 10 of their papers we have counts for
10 papers
Instruct-Imagen: Image Generation with Multi-modal Instruction
Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su +9
This paper presents instruct-imagen, a model that tackles heterogeneous image generation tasks and generalizes across unseen tasks. We introduce *multi-modal instruction* for image…
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Yanwu Xu, Yang Zhao, Zhisheng Xiao +1
Text-to-image diffusion models have demonstrated remarkable capabilities in transforming textual prompts into coherent images, yet the computational cost of their inference remains…
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
Shaoan Xie, Yang Zhao, Zhisheng Xiao +5
This study introduces Text-Guided Subject-Driven Image Inpainting, a novel task that combines text and exemplar images for image inpainting. While both text and exemplar images hav…
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models
Zhonghao Wang, Wei Wei, Yang Zhao +4
This paper explores advancements in high-fidelity personalized image generation through the utilization of pre-trained text-to-image diffusion models. While previous approaches hav…
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Yang Zhao, Yanwu Xu, Zhisheng Xiao +2
The deployment of large-scale text-to-image diffusion models on mobile devices is impeded by their substantial model size and slow inference speed. In this paper, we propose \textb…
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su +2
An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e.g., image enhancement, video communication, and taking portrait. Mos…
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C. K. Chan +6
This paper proposes a method for generating images of customized objects specified by users. The method is based on a general framework that bypasses the lengthy optimization requi…
Unpaired Image-to-Image Translation via Latent Energy Transport
Yang Zhao, Changyou Chen
Image-to-image translation aims to preserve source contents while translating to discriminative target styles between two visual domains. Most works apply adversarial learning in t…
Structure-Aware Human-Action Generation
Ping Yu, Yang Zhao, Chunyuan Li +2
Generating long-range skeleton-based human actions has been a challenging problem since small deviations of one frame can cause a malformed action sequence. Most existing methods b…
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Zhenyi Wang, Ping Yu, Yang Zhao +4
Human-motion generation is a long-standing challenging task due to the requirement of accurately modeling complex and diverse dynamic patterns. Most existing methods adopt sequence…