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Arlene Chen

2 accepted papers

2025

OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On

AAAI 2025technical

We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON). We leverage the power of pretrained latent diffusion models, designing an outfitting UNet to learn the detailed garment features. Without a redundant warping process, the garment f…

2024

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

EMNLP 2024finding

Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments. Most existing studies focus on improving the performance of the target domain by fine-tuning domain-specific models (trained on source domains) based…

Cited by 6SourcePDFScholar