Ref-GeNVS: Training-Free Reflection-Aware Generative Novel View Synthesis

Multi-view diffusion models typically struggle with mirrors, treating reflections as visual noise rather than coherent spatial cues. Ref-GeNVS addresses this limitation without retraining or fine-tuning the underlying backbone. By estimating the mirror plane, it mirrors camera poses to construct virtual viewpoints, treating reflection as an explicit geometric counterpart to the primary scene. A combination of mirror-gated attention and reflection injection then guides the diffusion process, allowing the model to consistently generate novel views and recover occluded structures visible only inside the glass.