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September 10, 2025Open Access

MvDeDiffusion: Multi-view Consistent Generation via Cross-view Deformable Attention for Denoising Diffusion Models

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Framework ensures view-consistent image generation using inter-perspective correlations during the diffusion process.
Experiments demonstrate superior multi-view continuity and image synthesis, outperforming existing methods statistically.
Innovations include a cross-view deformable attention mechanism for enforcing geometric consistency in generated images.
3D-aware conditioning pipeline enhances scene structure control while maintaining photorealistic detail in outputs.

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Proposed framework achieves superior multi-view coherence in image synthesis, highlighting 3D geometric awareness and attention mechanisms.

Lu et al. (2025) studied this question.

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Proposed framework achieves superior multi-view coherence in image synthesis, highlighting 3D geometric awareness and attention mechanisms.