PreciseCam: Precise Camera Control for Text-to-Image Generation
Journal:
arXiv
Published Date:
Jan 22, 2025
Abstract
Images as an artistic medium often rely on specific camera angles and lens
distortions to convey ideas or emotions; however, such precise control is
missing in current text-to-image models. We propose an efficient and general
solution that allows precise control over the camera when generating both
photographic and artistic images. Unlike prior methods that rely on predefined
shots, we rely solely on four simple extrinsic and intrinsic camera parameters,
removing the need for pre-existing geometry, reference 3D objects, and
multi-view data. We also present a novel dataset with more than 57,000 images,
along with their text prompts and ground-truth camera parameters. Our
evaluation shows precise camera control in text-to-image generation, surpassing
traditional prompt engineering approaches. Our data, model, and code are
publicly available at https://graphics.unizar.es/projects/PreciseCam2024.
