OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image Generation
We introduce a parameter-efficient adaptation method for panel-aware in-context image generation with pre-trained diffusion transformers. The key idea is to compose learnable, panel-specific orthogonal operators onto the backbone's frozen positional encodings. This design provides two desirable prop