23 citations · 66 across the 19 of their papers we have counts for
19 papers
MetaDesigner: Advancing Artistic Typography Through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +11
MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its fo…
VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing
Binghui Chen, Chongyang Zhong, Wangmeng Xiang +2
Due to the significant advances in large-scale text-to-image generation by diffusion model (DM), controllable human image generation has been attracting much attention recently. Ex…
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
Xiang Huang, Zhi-Qi Cheng, Jun-Yan He +3
The advancement of autonomous driving systems hinges on the ability to achieve low-latency and high-accuracy perception. To address this critical need, this paper introduces Dynami…
WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +10
This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the…
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +10
This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modul…
AnyText: Multilingual Visual Text Generation And Editing
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He +2
Diffusion model based Text-to-Image has achieved impressive achievements recently. Although current technology for synthesizing images is highly advanced and capable of generating…
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
Hanbing Liu, Wangmeng Xiang, Jun-Yan He +4
Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture. With the success of transformers, we introduce the Refined…
A Benchmark for Chinese-English Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Wangmeng Xiang +2
Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR)…
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng +8
Existing 3D human pose estimators face challenges in adapting to new datasets due to the lack of 2D-3D pose pairs in training sets. To overcome this issue, we propose \textit{Multi…
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
Xu Bao, Zhi-Qi Cheng, Jun-Yan He +8
Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and…
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos
Minghan Li, Shuai Li, Wangmeng Xiang +1
While impressive progress has been achieved, video instance segmentation (VIS) methods with per-clip input often fail on challenging videos with occluded objects and crowded scenes…
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +5
Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that has yet to be thoroughly explored in existing research. To address this gap, we presen…
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Hanyuan Chen, Jun-Yan He, Wangmeng Xiang +6
Human pose estimation is a challenging task due to its structured data sequence nature. Existing methods primarily focus on pair-wise interaction of body joints, which is insuffici…
ProContEXT: Exploring Progressive Context Transformer for Tracking
Jin-Peng Lan, Zhi-Qi Cheng, Jun-Yan He +6
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as i…
Generative Action Description Prompts for Skeleton-based Action Recognition
Wangmeng Xiang, Chao Li, Yuxuan Zhou +2
Skeleton-based action recognition has recently received considerable attention. Current approaches to skeleton-based action recognition are typically formulated as one-hot classifi…
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition
Wangmeng Xiang, Chao Li, Biao Wang +3
Transformer-based methods have recently achieved great advancement on 2D image-based vision tasks. For 3D video-based tasks such as action recognition, however, directly applying s…
SP-ViT: Learning 2D Spatial Priors for Vision Transformers
Yuxuan Zhou, Wangmeng Xiang, Chao Li +5
Recently, transformers have shown great potential in image classification and established state-of-the-art results on the ImageNet benchmark. However, compared to CNNs, transformer…
Large Margin Few-Shot Learning
Yong Wang, Xiao-Ming Wu, Qimai Li +4
The key issue of few-shot learning is learning to generalize. This paper proposes a large margin principle to improve the generalization capacity of metric based methods for few-sh…
Homocentric Hypersphere Feature Embedding for Person Re-identification
Wangmeng Xiang, Jianqiang Huang, Xianbiao Qi +2
Person re-identification (Person ReID) is a challenging task due to the large variations in camera viewpoint, lighting, resolution, and human pose. Recently, with the advancement o…