VERTIGO post-trains camera trajectory generators with visual preference signals from Unity-rendered previews scored by a cinematically fine-tuned VLM, cutting character off-screen rates from 38% to near zero while improving framing and prompt adherence.
arXiv preprint arXiv:2502.08639 (2025) 4 24 Zhang et al
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VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation
VERTIGO post-trains camera trajectory generators with visual preference signals from Unity-rendered previews scored by a cinematically fine-tuned VLM, cutting character off-screen rates from 38% to near zero while improving framing and prompt adherence.
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Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints
Sparse 3D hand joints plus an occlusion-aware control module produce higher-fidelity, 3D-consistent egocentric hand-object videos than dense-2D or implicit-pose baselines.
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Evolution of Video Generative Foundations
This survey traces video generation technology from GANs to diffusion models and then to autoregressive and multimodal approaches while analyzing principles, strengths, and future trends.