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Automatic Scene Inference for 3D Object Compositing
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OA
AI
DOI：10.1145/2602146.png)
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摘要
En 中文
We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically places them in 3D and relights them appropriately), postprocess illumination editing, and depth-of-field manipulation. Underlying our system is a fully automatic technique for recovering a comprehensive 3D scene model (geometry, illumination, diffuse albedo, and camera parameters) from a single, low dynamic range photograph. This is made possible by two novel contributions: an illumination inference algorithm that recovers a full lighting model of the scene (including light sources that are not directly visible in the photograph), and a depth estimation algorithm that combines data-driven depth transfer with geometric reasoning about the scene layout. A user study shows that our system produces perceptually convincing results, and achieves the same level of realism as techniques that require significant user interaction.
Keyword:
Algorithms
Human Factors
Illumination inference
depth estimation
scene reconstruction
physically grounded
image-based rendering
image-based editing
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期刊
IF:
9.5
论文数:
4.8K
被引数:
3.6W
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