사진속의 사물에 새로운 합성 오브젝트를 자연스럽게 합칠 수 있게 하는 새로운 기술을 개발하는 곳이 있습니다.
단일 혹은 몇 장의 이미지를 가지고서, 사진 속의 실제 빛과 자연스럽게 상호작용이 가능하도록 물체의 재질과 글로우 효과까지 흉내낼 수 있습니다.
We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single image and a small amount of annotation, our method creates a physical model of the scene that is suitable for realistically rendering synthetic objects with diffuse, specular, and even glowing materials while accounting for lighting interactions between the objects and the scene. We demonstrate in a user study that synthetic images produced by our method are confusable with real scenes, even for people who believe they are good at telling the difference. Further, our study shows that our method is competitive with other insertion methods while requiring less scene information. We also collected new illumination and reflectance datasets; renderings produced by our system compare well to ground truth. Our system has applications in the movie and gaming industry, as well as home decorating and user content creation, among others.
Rendering Synthetic Objects into Legacy Photographs from Kevin Karsch on Vimeo.