32 citations · 107 across the 31 of their papers we have counts for
16 papers · 1 filter
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation
Qingdong He, Jinlong Peng, Pengcheng Xu +8
To enhance the controllability of text-to-image diffusion models, current ControlNet-like models have explored various control signals to dictate image attributes. However, existin…
FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
Boyuan Jiang, Xiaobin Hu, Donghao Luo +7
Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diver…
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
Ying Jin, Jinlong Peng, Qingdong He +8
The performance of anomaly inspection in industrial manufacturing is constrained by the scarcity of anomaly data. To overcome this challenge, researchers have started employing ano…
MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object Tracking
Mufeng Yao, Jinlong Peng, Qingdong He +5
Multiple object tracking (MOT) from unmanned aerial vehicle (UAV) platforms requires efficient motion modeling. This is because UAV-MOT faces both local object motion and global ca…
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang, Haokun Zhu, Jinlong Peng +5
Existing industrial anomaly detection methods primarily concentrate on unsupervised learning with pristine RGB images. Yet, both RGB and 3D data are crucial for anomaly detection,…
CustAny: Customizing Anything from A Single Example
Lingjie Kong, Kai Wu, Xiaobin Hu +8
Recent advances in diffusion-based text-to-image models have simplified creating high-fidelity images, but preserving the identity (ID) of specific elements, like a personal dog, i…
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval
Sihe Zhang, Qingdong He, Jinlong Peng +6
Image retrieval aims to identify visually similar images within a database using a given query image. Traditional methods typically employ both global and local features extracted…
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
Qingdong He, Jiangning Zhang, Jinlong Peng +4
Transformers have revolutionized the point cloud learning task, but the quadratic complexity hinders its extension to long sequence and makes a burden on limited computational reso…
SCL: Towards Domain Generalization via Single-Temporal Multimodal Contrastive Learning for Remote Sensing Change Detection
Qiangang Du, Jinlong Peng, Xu Chen +4
In recent years, change detection and anomaly detection models based on CNN and transformer have achieved remarkable success across various datasets based on paired data. However,…
Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection
Qiangang Du, Jinlong Peng, Changan Wang +6
Change detection aims to identify remote sense object changes by analyzing data between bitemporal image pairs. Due to the large temporal and spatial span of data collection in cha…
Tuning-Free Image Customization with Image and Text Guidance
Pengzhi Li, Qiang Nie, Ying Chen +7
Despite significant advancements in image customization with diffusion models, current methods still have several limitations: 1) unintended changes in non-target areas when regene…
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Jianlong Hu, Xu Chen, Zhenye Gan +7
Training a unified model is considered to be more suitable for practical industrial anomaly detection scenarios due to its generalization ability and storage efficiency. However, t…
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Liren He, Zhengkai Jiang, Jinlong Peng +7
In the field of multi-class anomaly detection, reconstruction-based methods derived from single-class anomaly detection face the well-known challenge of "learning shortcuts", where…
PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models
Qingdong He, Jinlong Peng, Zhengkai Jiang +2
Recent success of vision foundation models have shown promising performance for the 2D perception tasks. However, it is difficult to train a 3D foundation network directly due to t…
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
Xiaobin Hu, Xu Peng, Donghao Luo +7
Due to the difficulty and labor-consuming nature of getting highly accurate or matting annotations, there only exists a limited amount of highly accurate labels available to the pu…
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
Qingdong He, Jinlong Peng, Zhengkai Jiang +7
3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the avai…