3 citations · 8 across the 10 of their papers we have counts for
12 papers
Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation
Ziying Zhang, Litao Li, Junchao Liao +4
A video can exhibit convincing motion and photorealism yet fail immediately when visual text collapses. Unlike generic scene content, visual text is unforgiving in video generation…
Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence
Junchao Liao, Zhenghao Zhang, Xiangyu Meng +5
Audio-video (AV) generation has recently made strong progress in perceptual quality and multimodal coherence, yet generating content with plausible motion-sound relations remains c…
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…
Controlling Language Difficulty in Dialogues with Linguistic Features
Shuyao Xu, Wenguang Wang, Handong Gao +3
Large language models (LLMs) have emerged as powerful tools for supporting second language acquisition, particularly in simulating interactive dialogues for speaking practice. Howe…
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…
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Zhenghao Zhang, Junchao Liao, Menghao Li +5
Recent advancements in Diffusion Transformer (DiT) have demonstrated remarkable proficiency in producing high-quality video content. Nonetheless, the potential of transformer-based…
Large Language Model based Situational Dialogues for Second Language Learning
Shuyao Xu, Long Qin, Tianyang Chen +3
In second language learning, scenario-based conversation practice is important for language learners to achieve fluency in speaking, but students often lack sufficient opportunitie…
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration
Zhichao Wei, Qingkun Su, Long Qin +1
Recent advances in tuning-free personalized image generation based on diffusion models are impressive. However, to improve subject fidelity, existing methods either retrain the dif…
EffiVED:Efficient Video Editing via Text-instruction Diffusion Models
Zhenghao Zhang, Zuozhuo Dai, Long Qin +1
Large-scale text-to-video models have shown remarkable abilities, but their direct application in video editing remains challenging due to limited available datasets. Current video…
AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
Zuozhuo Dai, Zhenghao Zhang, Yao Yao +4
Image animation is a key task in computer vision which aims to generate dynamic visual content from static image. Recent image animation methods employ neural based rendering techn…