5 papers
Radioactive Feedback: Tracing Models Trained by Label-Only LLM Supervision
Yuejia Li, JunHeng Li, Hao Wu +2
Conventional distillation transfers capability through teacher-generated demonstrations. LLM-as-a-Judge knowledge distillation offers a distinct and increasingly practical alternat…
DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
Desong Yang, Mang Ye
With recent advancements in large-scale pre-trained text-to-image (T2I) models, training-free image editing methods have demonstrated remarkable success. Typically, these methods i…
See Before You Code: Learning Visual Priors for Spatially Aware Educational Animation Generation
Yuejia Li, Ke He, Junheng Li +5
Large language models can generate executable code for educational animations, but the resulting renders often exhibit visual defects, including element overlap, misalignment, and…
Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglement
Yuran Dong, Hang Dai, Mang Ye
Multimodal editing large models have demonstrated powerful editing capabilities across diverse tasks. However, a persistent and long-standing limitation is the decline in facial id…
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
Bin Wu, Wuxuan Shi, Jinqiao Wang +1
Pre-trained Vision-Language Models (VLMs) require Continual Learning (CL) to efficiently update their knowledge and adapt to various downstream tasks without retraining from scratc…