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- Core Technology
- Based on the foundation of proprietary technologies and SenseCore AI infrastructure,
SenseTime has rapidly opened up AI application in multiple vertical scenarios, and is empowering various industries.
Key Technology
- 01Dehazing
- 02Video Stylization
- 03Filtering
- 04Post Focusing
- 05Out-of-focus Restoration
- 06Single Image HDR
- 07Dark Light Enhancement
- 08Restoration (Rapid Noise Reduction)
- 09Super-resolution Restoration
- 10Ultra HD Video Super-Resolution
- 112D-to-3D Video Conversion
01 / 011
Dehazing
Based on industry-leading image processing technology, the technology removes heavy fog and haze from images.
02 / 011
Video Stylization
Based on advanced deep learning algorithms, the software converts videos in real-time to create more interesting and artistic footages.
03 / 011
Filtering
Based on deep learning algorithms, the filtering solution offers a wide variety of special image effects.
04 / 011
Post Focusing
Based on dual-lens 3D vision technology, the post focusing software allows users to adjust the focus and aperture of the image after shooting, enabling stunning features such as background defocusing and digital refocusing.
05 / 011
Out-of-focus Restoration
The industry-leading image processing algorithm adjusts and restores out-of-focus photos.
06 / 011
Single Image HDR
The wide dynamic range algorithm equips smartphones with the ability to take stunning, professional-level photos and videos.
07 / 011
Dark Light Enhancement
The industry-leading image processing technology improves the overall brightness and definition of images and videos shot under dark light environment.
08 / 011
Restoration (Rapid Noise Reduction)
The cutting-edge rapid noise reduction algorithm removes noise from smartphone images.
09 / 011
Super-resolution Restoration
Leveraging image processing and deep learning technologies such as the Super-Resolution Convolutional Neural Networks (SRCNN) to upsample low-resolution images, the super-resolution restoration product delivers much clearer and sharper high-resolution images.
10 / 11
Ultra HD Video Super-Resolution
Ultra HD video super-resolution converts videos to any resolution and size. Using deep learning algorithm, the technology converts transmitted low-resolution videos to high-definition videos to improve image quality for a better viewing experience.
11 / 11
2D-to-3D Video Conversion
By Imitating the 3D cognitive ability of human eyes, the technology automatically converts videos from 2D to 3D, which enhances the stereoscopic effect of the video and saves labor costs significantly. This technology can be adopted in the industries of movie, television, advertising, live streaming and so forth.
Technology
01 / 011
Dehazing
Based on industry-leading image processing technology, the technology removes heavy fog and haze from images.
02 / 011
Video Stylization
Based on advanced deep learning algorithms, the software converts videos in real-time to create more interesting and artistic footages.
03 / 011
Filtering
Based on deep learning algorithms, the filtering solution offers a wide variety of special image effects.
04 / 011
Post Focusing
Based on dual-lens 3D vision technology, the post focusing software allows users to adjust the focus and aperture of the image after shooting, enabling stunning features such as background defocusing and digital refocusing.
05 / 011
Out-of-focus Restoration
The industry-leading image processing algorithm adjusts and restores out-of-focus photos.
06 / 011
Single Image HDR
The wide dynamic range algorithm equips smartphones with the ability to take stunning, professional-level photos and videos.
07 / 011
Dark Light Enhancement
The industry-leading image processing technology improves the overall brightness and definition of images and videos shot under dark light environment.
08 / 011
Restoration (Rapid Noise Reduction)
The cutting-edge rapid noise reduction algorithm removes noise from smartphone images.
09 / 011
Super-resolution Restoration
Leveraging image processing and deep learning technologies such as the Super-Resolution Convolutional Neural Networks (SRCNN) to upsample low-resolution images, the super-resolution restoration product delivers much clearer and sharper high-resolution images.
10 / 11
Ultra HD Video Super-Resolution
Ultra HD video super-resolution converts videos to any resolution and size. Using deep learning algorithm, the technology converts transmitted low-resolution videos to high-definition videos to improve image quality for a better viewing experience.
11 / 11
2D-to-3D Video Conversion
By Imitating the 3D cognitive ability of human eyes, the technology automatically converts videos from 2D to 3D, which enhances the stereoscopic effect of the video and saves labor costs significantly. This technology can be adopted in the industries of movie, television, advertising, live streaming and so forth.
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