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20192026
most citedTemporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

12 citations · 20 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

DreamVAR: Taming Reinforced Visual Autoregressive Model for High-Fidelity Subject-Driven Image Generation

Xin Jiang, Jingwen Chen, Yehao Li +5

Recent advances in subject-driven image generation using diffusion models have attracted considerable attention for their remarkable capabilities in producing high-quality images.…

cs.CV2025

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On

Siqi Wan, Jingwen Chen, Yingwei Pan +2

Diffusion models have shown preliminary success in virtual try-on (VTON) task. The typical dual-branch architecture comprises two UNets for implicit garment deformation and synthes…

cs.CV2024

Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning

Jianjie Luo, Jingwen Chen, Yehao Li +4

Recently, zero-shot image captioning has gained increasing attention, where only text data is available for training. The remarkable progress in text-to-image diffusion model prese…

cs.CV2024

Improving Text-guided Object Inpainting with Semantic Pre-inpainting

Yifu Chen, Jingwen Chen, Yingwei Pan +4

Recent years have witnessed the success of large text-to-image diffusion models and their remarkable potential to generate high-quality images. The further pursuit of enhancing the…

cs.CV2024

Improving Virtual Try-On with Garment-focused Diffusion Models

Siqi Wan, Yehao Li, Jingwen Chen +4

Diffusion models have led to the revolutionizing of generative modeling in numerous image synthesis tasks. Nevertheless, it is not trivial to directly apply diffusion models for sy…

cs.CV2023

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

Jingwen Chen, Yingwei Pan, Ting Yao +1

Recently, the multimedia community has witnessed the rise of diffusion models trained on large-scale multi-modal data for visual content creation, particularly in the field of text…