6 papers
ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
Chaodong Jia, Zequn Xie, Xibei Jia +3
Text-Based Person Search (TBPS) aims to retrieve pedestrian images using natural language queries. However, existing TBPS models, especially those based on CLIP, struggle with fine…
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
Chat-Driven Text Generation and Interaction for Person Retrieval
Zequn Xie, Chuxin Wang, Sihang Cai +3
Text-based person search (TBPS) enables the retrieval of person images from large-scale databases using natural language descriptions, offering critical value in surveillance appli…
Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration
Wenkang Han, Wang Lin, Yiyun Zhou +4
Face Video Restoration (FVR) aims to recover high-quality face videos from degraded versions. Traditional methods struggle to preserve fine-grained, identity-specific features when…
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
Shulei Wang, Wang Lin, Hai Huang +8
We introduce a novel, training-free approach for enhancing alignment in Transformer-based Text-Guided Diffusion Models (TGDMs). Existing TGDMs often struggle to generate semantical…
Efficient Prompting for Continual Adaptation to Missing Modalities
Zirun Guo, Shulei Wang, Wang Lin +3
Missing modality issues are common in real-world applications, arising from factors such as equipment failures and privacy concerns. When fine-tuning pre-trained models on downstre…