2 citations · 2 across the 2 of their papers we have counts for
6 papers
Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation
Tianheng Cheng, Xinggang Wang, Junchao Liao +1
Semantic segmentation is a fundamental problem in computer vision and it requires high-resolution feature maps for dense prediction. Current coordinate-guided low-resolution featur…
Identity-GRPO: Optimizing Multi-Human Identity-preserving Video Generation via Reinforcement Learning
Xiangyu Meng, Zixian Zhang, Zhenghao Zhang +3
While advanced methods like VACE and Phantom have advanced video generation for specific subjects in diverse scenarios, they struggle with multi-human identity preservation in dyna…
LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing
Zhenghao Zhang, Ziying Zhang, Junchao Liao +6
Recent multimodal models for instruction-based face editing enable semantic manipulation but still struggle with precise attribute control and identity preservation. Structural fac…
Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation
Zhenghao Zhang, Junchao Liao, Xiangyu Meng +2
Recent advances in diffusion transformer models for motion-guided video generation, such as Tora, have shown significant progress. In this paper, we present Tora2, an enhanced vers…
TransVDM: Motion-Constrained Video Diffusion Model for Transparent Video Synthesis
Menghao Li, Zhenghao Zhang, Junchao Liao +2
Recent developments in Video Diffusion Models (VDMs) have demonstrated remarkable capability to generate high-quality video content. Nonetheless, the potential of VDMs for creating…
Knowledge Mining with Scene Text for Fine-Grained Recognition
Hao Wang, Junchao Liao, Tianheng Cheng +5
Recently, the semantics of scene text has been proven to be essential in fine-grained image classification. However, the existing methods mainly exploit the literal meaning of scen…