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arXiv · 2603.14241

CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control

Zhiyi Kuang·Chengan He·Egor Zakharov·Yuxuan Xue·Shunsuke Saito·Olivier Maury·Timur Bagautdinov·Youyi Zheng·Giljoo Nam
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Abstract

We present CamLit, the first unified video diffusion model that jointly performs novel view synthesis (NVS) and relighting from a single input image. Given one reference image, a user-defined camera trajectory, and an environment map, CamLit synthesizes a video of the scene from new viewpoints under the specified illumination. Within a single generative process, our model produces temporally coherent and spatially aligned outputs, including relit novel-view frames and corresponding albedo frames, enabling high-quality control of both camera pose and lighting. Qualitative and quantitative experiments demonstrate that CamLit achieves high-fidelity outputs on par with state-of-the-art methods in both novel view synthesis and relighting, without sacrificing visual quality in either task. We show that a single generative model can effectively integrate camera and lighting control, simplifying the video generation pipeline while maintaining competitive performance and consistent realism.

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Zhiyi Kuang, Chengan He, Egor Zakharov, Yuxuan Xue, Shunsuke Saito, Olivier Maury, Timur Bagautdinov, Youyi Zheng, Giljoo Nam. 2026-03-15. CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control. https://arxiv.org/abs/2603.14241

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