5 papers
Coarse-Guided Visual Generation via Weighted h-Transform Sampling
Yanghao Wang, Ziqi Jiang, Zhen Wang +1
Coarse-guided visual generation, which synthesizes fine visual samples from degraded or low-fidelity coarse references, is essential for various real-world applications. While trai…
FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
Zhen Wang, Youcan Xu, Jun Xiao +1
Video motion transfer aims to generate a target video that inherits motion patterns from a source video while rendering new scenes. Existing training-free approaches focus on const…
Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model
Hongxu Chen, Zhen Wang, Taoran Mei +4
Concept Erasure, which aims to prevent pretrained text-to-image models from generating content associated with semantic-harmful concepts (i.e., target concepts), is getting increas…
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
Hongxu Chen, Runshi Li, Bowei Zhu +2
Low-rank adaptations (LoRA) are widely used to fine-tune large models across various domains for specific downstream tasks. While task-specific LoRAs are often available, concerns…
CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
Ziqi Jiang, Zhen Wang, Long Chen
Precise and flexible image editing remains a fundamental challenge in computer vision. Based on the modified areas, most editing methods can be divided into two main types: global…