Search Results for author: Liming Jiang

Found 21 papers, 16 papers with code

Evaluating General-Purpose AI with Psychometrics

no code implementations25 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.

PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation

no code implementations14 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.

Text to 3D text-to-3d-human +1

Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation

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.

Image-to-Image Translation

GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation

1 code implementation7 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.

Translation Unsupervised Image-To-Image Translation +1

CelebV-Text: A Large-Scale Facial Text-Video Dataset

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.

Text Generation Text-to-Video Generation +1

VToonify: Controllable High-Resolution Portrait Video Style Transfer

1 code implementation22 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.

Face Alignment Style Transfer +2

CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

1 code implementation25 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.

Attribute Face Generation +1

Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

3 code implementations12 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.

Segmentation Synthetic Data Generation +1

Unsupervised Image-to-Image Translation with Generative Prior

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.

Translation Unsupervised Image-To-Image Translation

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

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.

Style Transfer Transfer Learning +1

Deceive D: Adaptive Pseudo Augmentation for GAN Training 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.

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach

no code implementations17 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.


Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment

no code implementations21 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.

Reinforcement Learning (RL)

A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images

no code implementations9 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.

Asset Management Crack Segmentation +1

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