most citedIdentity Encoder for Personalized Diffusion

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Cross-Dataset-Robust Method for Blind Real-World Image Quality Assessment

Yuan Chen, Zhiliang Ma, Yang Zhao

Although many effective models and real-world datasets have been presented for blind image quality assessment (BIQA), recent BIQA models usually tend to fit specific training set.…

cs.CV2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

Zhao Yang, Bing Su, Ji-Rong Wen

Text-to-motion generation has gained increasing attention, but most existing methods are limited to generating short-term motions that correspond to a single sentence describing a…

cs.CV20231 cited

RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture

Liangchen Song, Liangliang Cao, Hongyu Xu +4

The techniques for 3D indoor scene capturing are widely used, but the meshes produced leave much to be desired. In this paper, we propose "RoomDreamer", which leverages powerful na…

cs.CV20235 cited

Identity Encoder for Personalized Diffusion

Yu-Chuan Su, Kelvin C. K. Chan, Yandong Li +5

Many applications can benefit from personalized image generation models, including image enhancement, video conferences, just to name a few. Existing works achieved personalization…

cs.CV2023

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning

Yang Zhao, Jianwen Xie, Ping Li

Numerous research efforts have been made to stabilize the training of the Generative Adversarial Networks (GANs), such as through regularization and architecture design. However, w…