no code implementations • 25 Oct 2023 • Xiting Wang, Liming Jiang, Jose Hernandez-Orallo, David Stillwell, Luning Sun, Fang Luo, Xing Xie
Comprehensive and accurate evaluation of general-purpose AI systems such as large language models allows for effective mitigation of their risks and deepened understanding of their capabilities.
no code implementations • 14 Oct 2023 • Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu
We first propose a novel score function, Denoised Score Distillation (DSD), which directly modifies the SDS by introducing negative gradient components to iteratively correct the gradient direction and generate high-quality textures.
1 code implementation • ICCV 2023 • YuHan Wang, Liming Jiang, Chen Change Loy
In this paper, we introduce a novel motion generator design that uses a learning-based inversion network for GAN.
1 code implementation • ICCV 2023 • Yuxin Jiang, Liming Jiang, Shuai Yang, Chen Change Loy
The challenges of this task lie in the complexity of the scenes, the unique features of anime style, and the lack of high-quality datasets to bridge the domain gap.
1 code implementation • 7 Jun 2023 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
In this paper, we introduce a novel versatile framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), that improves the quality, applicability and controllability of the existing translation models.
1 code implementation • CVPR 2023 • Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu
This paper presents CelebV-Text, a large-scale, diverse, and high-quality dataset of facial text-video pairs, to facilitate research on facial text-to-video generation tasks.
1 code implementation • ICCV 2023 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
Recent advances in face manipulation using StyleGAN have produced impressive results.
1 code implementation • 22 Sep 2022 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
Although a series of successful portrait image toonification models built upon the powerful StyleGAN have been proposed, these image-oriented methods have obvious limitations when applied to videos, such as the fixed frame size, the requirement of face alignment, missing non-facial details and temporal inconsistency.
1 code implementation • 25 Jul 2022 • Hao Zhu, Wayne Wu, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, Chen Change Loy
Large-scale datasets have played indispensable roles in the recent success of face generation/editing and significantly facilitated the advances of emerging research fields.
Ranked #1 on Unconditional Video Generation on CelebV-HQ
3 code implementations • 12 May 2022 • Kenny T. R. Voo, Liming Jiang, Chen Change Loy
This paper performs comprehensive analysis on datasets for occlusion-aware face segmentation, a task that is crucial for many downstream applications.
1 code implementation • CVPR 2022 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
In this work, we present a novel framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), to improve the overall quality and applicability of the translation algorithm.
1 code implementation • CVPR 2022 • Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
In this study, we highlight the importance of interaction in a dual-space GAN for more controllable editing.
1 code implementation • CVPR 2022 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data.
2 code implementations • NeurIPS 2021 • Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
Generative adversarial networks (GANs) typically require ample data for training in order to synthesize high-fidelity images.
2 code implementations • 18 Feb 2021 • Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan
This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection.
1 code implementation • ICCV 2021 • Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
In this study, we show that narrowing gaps in the frequency domain can ameliorate image reconstruction and synthesis quality further.
1 code implementation • ECCV 2020 • Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy
We introduce a simple and versatile framework for image-to-image translation.
no code implementations • 17 May 2020 • Liming Jiang, Yuanchang Xie, Danjue Chen, Tienan Li, Nicholas G. Evans
Stop-and-go traffic poses many challenges to tranportation system, but its formation and mechanism are still under exploration. however, it has been proved that by introducing Connected Automated Vehicles(CAVs) with carefully designed controllers one could dampen the stop-and-go waves in the vehicle fleet.
no code implementations • 21 Jan 2020 • Tianzhu Ren, Yuanchang Xie, Liming Jiang
Given the aging infrastructure and the anticipated growing number of highway work zones in the United States, it is important to investigate work zone merge control, which is critical for improving work zone safety and capacity.
1 code implementation • CVPR 2020 • Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy
The quality of generated videos outperforms those in existing datasets, validated by user studies.
no code implementations • 9 Jan 2020 • Liming Jiang, Yuanchang Xie, Tianzhu Ren
In this study, runway pavement images are collected using drone at various heights from the Fitchburg Municipal Airport (FMA) in Massachusetts to evaluate their quality and applicability for crack segmentation, from which an optimal height is determined.