3 citations · 4 across the 9 of their papers we have counts for
10 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…
Beyond Coherence: Benchmarking Professional Editing-Technique Execution in Multi-Shot Audio-Video Generation
Tianyi Zeng, Junchao Liao, Yujie Wei +9
Recent multi-shot audio-video generators can produce increasingly coherent and cinematic outputs, but coherence does not imply the ability to execute editing techniques. Profession…
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…
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…
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…