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AKiRa: Augmentation Kit on Rays for optical video generation

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arxiv 2412.14158 v2 pith:EQOKFT7E submitted 2024-12-18 cs.CV cs.AIcs.MM

classification cs.CVcs.AIcs.MM
keywords cameravideogenerationopticalakiraaugmentationmethodsmotion
verification ladder T0 review T1 audit T2 compute T3 formal
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Recent advances in text-conditioned video diffusion have greatly improved video quality. However, these methods offer limited or sometimes no control to users on camera aspects, including dynamic camera motion, zoom, distorted lens and focus shifts. These motion and optical aspects are crucial for adding controllability and cinematic elements to generation frameworks, ultimately resulting in visual content that draws focus, enhances mood, and guides emotions according to filmmakers' controls. In this paper, we aim to close the gap between controllable video generation and camera optics. To achieve this, we propose AKiRa (Augmentation Kit on Rays), a novel augmentation framework that builds and trains a camera adapter with a complex camera model over an existing video generation backbone. It enables fine-tuned control over camera motion as well as complex optical parameters (focal length, distortion, aperture) to achieve cinematic effects such as zoom, fisheye effect, and bokeh. Extensive experiments demonstrate AKiRa's effectiveness in combining and composing camera optics while outperforming all state-of-the-art methods. This work sets a new landmark in controlled and optically enhanced video generation, paving the way for future optical video generation methods.

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Cited by 2 Pith papers

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  1. VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment

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    A VGGT-based pointwise reprojection reward with geometry-aware sampling improves video geometric consistency via SFT/DPO and causal test-time search.

  2. Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

    cs.CV 2025-06 conditional novelty 5.0 of 10

    Follow-Your-Creation fine-tunes the Wan2.1 video inpainting model on composite point-cloud and editing masks so a single monocular video can be converted into editable 4D video with new camera motion.

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