Conflict-Aware Adapter Composition (C-AAC) for Scene Generation

This research introduces a novel approach to scene generation using conflict-aware adapter composition. Our method enhances the quality and coherence of generated scenes by intelligently managing and composing different model adapters.

We implemented a multi-stage pipeline that first identifies potential conflicts between various adapters and then employs a novel resolution strategy to merge them effectively, resulting in a single, optimized model for scene generation.

Our approach achieved a significant improvement in scene coherence and realism when compared to baseline methods. The generated images demonstrate superior visual quality and consistency, validated through both automated metrics and human evaluation.

The C-AAC approach shows promising results for large-scale and high-fidelity scene generation applications. Future work will explore the application of this technique to other generative tasks and further optimization of the conflict resolution algorithm.