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Models trained on the newly synthesized CLDefocus dataset outperform existing approaches by achieving better generalization across diverse camera systems.
Automated view scheduling in SceneFrom3D transforms the landscape of outdoor 3D scene generation, enabling unprecedented control over object appearance and geometry.
Synthetic motion data, when represented as optical flow, unlocks a new level of realism and control in video diffusion models, surpassing the limitations of real-world datasets.
