3 citations · 7 across the 22 of their papers we have counts for
11 papers · 1 filter
PreferThinker: Reasoning-based Personalized Image Preference Assessment
Shengqi Xu, Xinpeng Zhou, Yabo Zhang +6
Personalized image preference assessment aims to evaluate an individual user's image preferences by relying only on a small set of reference images as prior information. Existing m…
GLaVE-Cap: Global-Local Aligned Video Captioning with Vision Expert Integration
Wan Xu, Feng Zhu, Yihan Zeng +4
Video detailed captioning aims to generate comprehensive video descriptions to facilitate video understanding. Recently, most efforts in the video detailed captioning community hav…
MDIQA: Unified Image Quality Assessment for Multi-dimensional Evaluation and Restoration
Shunyu Yao, Ming Liu, Zhilu Zhang +4
Recent advancements in image quality assessment (IQA), driven by sophisticated deep neural network designs, have significantly improved the ability to approach human perceptions. H…
RefSTAR: Blind Facial Image Restoration with Reference Selection, Transfer, and Reconstruction
Zhicun Yin, Junjie Chen, Ming Liu +6
Blind facial image restoration is highly challenging due to unknown complex degradations and the sensitivity of humans to faces. Although existing methods introduce auxiliary infor…
Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving
Zixian Guo, Ming Liu, Qilong Wang +4
Current large vision-language models (LVLMs) typically employ a connector module to link visual features with text embeddings of large language models (LLMs) and use end-to-end tra…
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
Zheng Chen, Jingkai Wang, Kai Liu +51
This paper provides a review of the NTIRE 2025 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on ge…
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
Weijun Zhuang, Qizhang Li, Xin Li +5
Temporal Action Detection and Moment Retrieval constitute two pivotal tasks in video understanding, focusing on precisely localizing temporal segments corresponding to specific act…
AnimateAnywhere: Rouse the Background in Human Image Animation
Xiaoyu Liu, Mingshuai Yao, Yabo Zhang +5
Human image animation aims to generate human videos of given characters and backgrounds that adhere to the desired pose sequence. However, existing methods focus more on human acti…
Beyond Static Scenes: Camera-controllable Background Generation for Human Motion
Mingshuai Yao, Mengting Chen, Qinye Zhou +9
In this paper, we investigate the generation of new video backgrounds given a human foreground video, a camera pose, and a reference scene image. This task presents three key chall…
Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process
Yuanze Li, Shihao Yuan, Haolin Wang +5
Although recent methods have tried to introduce large multimodal models (LMMs) into industrial anomaly detection (IAD), their generalization in the IAD field is far inferior to tha…
Personalized Image Generation with Deep Generative Models: A Decade Survey
Yuxiang Wei, Yiheng Zheng, Yabo Zhang +4
Recent advancements in generative models have significantly facilitated the development of personalized content creation. Given a small set of images with user-specific concept, pe…