6 papers
Enhancing Domain Generalization in 3D Human Pose Estimation through Controllable Generative Augmentation
Xinhao Hu, Yiyi Zhang, Liqing Zhang +1
Pedestrian motion, due to its causal nature, is strongly influenced by domain gaps arising from discrepancies between training and testing data distributions. Focusing on 3D human…
Bottleneck Tokens for Unified Multimodal Retrieval
Siyu Sun, Jing Ren, Zhaohe Liao +8
Adapting decoder-only multimodal large language models (MLLMs) for unified multimodal retrieval faces two structural gaps. First, existing methods rely on implicit pooling, which o…
Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image
Yujie Gao, Yao Xiao, Xiangnan Zhu +4
Reconstructing a complete 3D head from a single portrait remains challenging because existing methods still face a sharp quality-speed trade-off: high-fidelity pipelines often rely…
High-Quality 3D Head Reconstruction from Any Single Portrait Image
Jianfu Zhang, Yujie Gao, Jiahui Zhan +4
In this work, we introduce a novel high-fidelity 3D head reconstruction method from a single portrait image, regardless of perspective, expression, or accessories. Despite signific…
User-Friendly Customized Generation with Multi-Modal Prompts
Linhao Zhong, Yan Hong, Wentao Chen +4
Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation. Current customization techniques often neces…
Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation
Tianyi Chen, Jianfu Zhang, Yan Hong +2
Image inpainting, the task of reconstructing missing segments in corrupted images using available data, faces challenges in ensuring consistency and fidelity, especially under info…