1 citations · 3 across the 9 of their papers we have counts for
9 papers
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers
Ruidong Chen, Yancheng Bai, Xuanpu Zhang +6
Region-instructed layout control in text-to-image generation is highly practical, yet existing methods suffer from limitations: (i) training-based approaches inherit data bias and…
EditEmoTalk: Controllable Speech-Driven 3D Facial Animation with Continuous Expression Editing
Diqiong Jiang, Kai Zhu, Dan Song +3
Speech-driven 3D facial animation aims to generate realistic and expressive facial motions directly from audio. While recent methods achieve high-quality lip synchronization, they…
Group Relative Attention Guidance for Image Editing
Xuanpu Zhang, Xuesong Niu, Ruidong Chen +6
Recently, image editing based on Diffusion-in-Transformer models has undergone rapid development. However, existing editing methods often lack effective control over the degree of…
Eevee: Towards Close-up High-resolution Video-based Virtual Try-on
Jianhao Zeng, Yancheng Bai, Ruidong Chen +7
Video virtual try-on technology provides a cost-effective solution for creating marketing videos in fashion e-commerce. However, its practical adoption is hindered by two critical…
BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
Xuanpu Zhang, Dan Song, Pengxin Zhan +5
Image-based virtual try-on is an increasingly popular and important task to generate realistic try-on images of the specific person. Recent methods model virtual try-on as image ma…
Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on
Dan Song, Xuanpu Zhang, Jianhao Zeng +4
Image-based virtual try-on aims to transfer target in-shop clothing to a dressed model image, the objectives of which are totally taking off original clothing while preserving the…
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
Jianhao Zeng, Dan Song, Weizhi Nie +3
Generative Adversarial Networks (GANs) dominate the research field in image-based virtual try-on, but have not resolved problems such as unnatural deformation of garments and the b…
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
Dan Song, Xinwei Fu, Ning Liu +5
Large-scale pre-trained models have demonstrated impressive performance in vision and language tasks within open-world scenarios. Due to the lack of comparable pre-trained models f…
Image-Based Virtual Try-On: A Survey
Dan Song, Xuanpu Zhang, Juan Zhou +4
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image…