Generating Fit Check Videos with a Handheld Camera

Self-captured full-body videos are popular, but most deployments require mounted cameras, carefully-framed shots, and repeated practice. We propose a more convenient solution that enables full-body video capture using handheld mobile devices. Our approach takes as input two static photos (front and back) of you in a mirror, along with an IMU motion reference that you perform while holding your mobile phone, and synthesizes a realistic video of you performing a similar target motion. We enable rendering into a new scene, with consistent illumination and shadows. We propose a novel video diffusion-based model to achieve this. Specifically, we propose a parameter-free frame generation strategy, as well as a multi-reference attention mechanism, that effectively integrate appearance information from both the front and back selfies into the video diffusion model. Additionally, we introduce an image-based fine-tuning strategy to enhance frame sharpness and improve the generation of shadows and reflections, achieving a more realistic human-scene composition.

@article{chen2025_2505.23886,
  title={ Generating Fit Check Videos with a Handheld Camera },
  author={ Bowei Chen and Brian Curless and Ira Kemelmacher-Shlizerman and Steven M. Seitz },
  journal={arXiv preprint arXiv:2505.23886},
  year={ 2025 }
}