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3d Photo Inpainting

pollinations

AI model preview image
The 3d-photo-inpainting model is an image-to-image conversion model that takes as input a 2D image with depth map information and generates a 3D photo representation of the scene. It uses a context-aware layered depth inpainting technique to fill in the missing depth information and generate a realistic 3D photo. This model can be useful in various applications such as virtual reality, augmented reality, and 3D visualization.

Use cases

The 3d-photo-inpainting model has several potential use cases in various technical fields. In virtual reality, this model can be utilized to enhance the immersive experience by converting 2D images into 3D representations, allowing users to explore and interact with the scene in a more realistic way. In augmented reality applications, the model can be used to generate 3D reconstructions of real-world objects or environments, enabling more accurate and visually appealing overlays of virtual objects onto the real world. Additionally, in the field of 3D visualization, this model can be employed to convert traditional 2D images into 3D representations, providing a more comprehensive understanding and analysis of the visual data. As for potential products or practical uses, this model could be integrated into existing virtual reality or augmented reality platforms to enhance their rendering capabilities. It could also be developed into standalone software for artists or designers to easily convert their 2D illustrations or photographs into 3D representations. In the field of medical imaging, this model could be used to generate 3D reconstructions of patient scans, aiding in diagnosis and treatment planning. Furthermore, it could find application in the gaming industry, enabling the conversion of 2D game assets into dynamic 3D environments. Overall, the 3d-photo-inpainting model has the potential to revolutionize the way we perceive and interact with visual data in a wide range of domains.

Image-to-Image

Pricing

Cost per run
$-
USD
Avg run time
-
Seconds
Hardware
Nvidia T4 GPU
Prediction

Creator Models

ModelCostRuns
Musicgen Looper Stereo$?43
Rife Video Interpolation$0.075914,219
Adampi$0.06275,479
Bark$0.03851,031
Amt$?9,122

Similar Models

Try it!

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Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatorpollinations
Model Name3d Photo Inpainting
Description
3D Photography using Context-aware Layered Depth Inpainting
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs5,565
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$-
Prediction HardwareNvidia T4 GPU
Average Completion Time-