Publications (10)
TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On
Dingbao Shao, Song Wu, Shenyi Wang +9
Due to the scarcity of large-scale in-the-wild triplet data and the improper use of masks, the performance of video virtual try-on models remains limited. In this paper, we first i…
Biaxial compression of centimeter scale graphene on strictly 2D substrate
Hadi Arjmandi-Tash, Hessam Sokooti, Jiang Lin +3
Biaxial compression of centimetre-scale graphene, freely standing on the surface of water is studied. Within this platform, we report full stress-strain compression of graphene ide…
Single OR multi-site event discrimination of strip multi-electrode high purity germanium detector via pulse shape analysis method
Yang Jingzhe, Zeng Zhi, Dai Wenhan +7
In order to suppress the background in rare event detection experiments such as 0ν\b{eta}\b{eta}, this paper developed a set of single/multi-site event pulse shape discrimination…
OmniStyle2: Learning to Stylize by Learning to Destylize
Ye Wang, Zili Yi, Yibo Zhang +6
This paper introduces a scalable paradigm for supervised style transfer by inverting the problem: instead of learning to stylize directly, we learn to destylize, reducing stylistic…
A Comprehensive Augmentation Framework for Anomaly Detection
Jiang Lin, Yaping Yan
Data augmentation methods are commonly integrated into the training of anomaly detection models. Previous approaches have primarily focused on replicating real-world anomalies or e…
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
Xinyu Chen, Yuyi Qian, Jiang Lin +9
Video object insertion requires ensuring spatio-temporal coherence and interactive realism, extending far beyond simple content placement. However, current approaches are often hin…
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
Jiang Lin, Xinyu Chen, Song Wu +7
Controlling the spatial and semantic structure of diffusion-generated images remains a challenge. Existing methods like ControlNet rely on handcrafted condition maps and retraining…
OmniStyle: Filtering High Quality Style Transfer Data at Scale
Ye Wang, Ruiqi Liu, Jiang Lin +4
In this paper, we introduce OmniStyle-1M, a large-scale paired style transfer dataset comprising over one million content-style-stylized image triplets across 1,000 diverse style c…
Exploring the Relationship between Samples and Masks for Robust Defect Localization
Jiang Lin, Yaping Yan
Defect detection aims to detect and localize regions out of the normal distribution.Previous approaches model normality and compare it with the input to identify defective regions,…
Inversion-Free Video Style Transfer with Trajectory Reset Attention Control and Content-Style Bridging
Jiang Lin, Zili Yi
Video style transfer aims to alter the style of a video while preserving its content. Previous methods often struggle with content leakage and style misalignment, particularly when…