Think Different

                                                Google Veo Character/image consistency across video generations is a major challenge in current AI video models like Veo 3. Let me help you understand the technical approaches and architectures that could address this problem. Core Technical Challenges The inconsistency issue stems from several factors: Latent space drift : Each generation samples from slightly different regions of the learned latent space Temporal coherence : Models struggle to maintain identity across time steps Reference conditioning : Insufficient mechanisms to anchor generation to specific visual features Promising Technical Approaches 1. Identity-Conditioned Diffusion Models Architecture Components: Identity Encoder : Extract robust identity embeddings from reference images Cross-attention mechanisms : Inject identity features at multiple scal...