12 papers · 1 filter
DualEraser: Joint Video Object and Effect Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver
Yuqing Chen, Lin Liu, Haisu Wu +4
Video object removal frequently struggles to eliminate target objects and their associated complex physical effects (e.g., smoke and light) in real-world scenes. We attribute this…
Reasoning to Align: Implicit Reasoning in Diffusion Transformers for Video Editing
Yan Li, Lin Liu, Xiaopeng Zhang +1
Instruction-based video editing requires transforming a source video according to a natural-language instruction while preserving irrelevant content and remaining temporally cohere…
Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length
Yubo Huang, Hailong Guo, Fangtai Wu +9
Audio-driven avatar interaction demands real-time, streaming, and infinite-length generation -- capabilities fundamentally at odds with the sequential denoising and long-horizon dr…
FineEdit: Fine-Grained Image Edit with Bounding Box Guidance
Haohang Xu, Lin Liu, Zhibo Zhang +3
Diffusion-based image editing models have achieved significant progress in real world applications. However, conventional models typically rely on natural language prompts, which o…
CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing
Yan Li, Lin Liu, Xiaopeng Zhang +4
Instruction-based image editing with diffusion models has achieved impressive results, yet existing methods struggle with fine-grained instructions specifying precise attributes su…
LoVoRA: Text-guided and Mask-free Video Object Removal and Addition with Learnable Object-aware Localization
Zhihan Xiao, Lin Liu, Yixin Gao +4
Text-guided video editing, particularly for object removal and addition, remains a challenging task due to the need for precise spatial and temporal consistency. Existing methods o…