World-Class Deep Learning Computer Vision Technology

We combine "cutting-edge AI" with the execution power to scale globally. We design technology to be lightweight, fast, and ready for real-world use.

Why Our Partners Trust Us

Face Reenactment

Able to express a high degree of freedom in head angle and delicate facial expressions through the 3D engine and deep-learning methods.

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3D Motion Capture

3D motion capture enables real-time and highly accurate full-body tracking without professional equipment.

Depth Map Upsampling

Utilizes 4K RGB images and a low-resolution depth map to attain a high-resolution depth map.

Face&Age Recognition

Estimates sex and age through face scan on the Cortex-M7 MCU (for device personalization usage).

Human Segmentation

Separates a human object from the background in real-time from imported images and videos.

Depth Estimation

Approximates relative depth on a single RGB camera via neural networks, on ARM CPU or mobile GPU.

Single-RGB Bokeh

Produces a natural bokeh effect with a single RGB image. (With blur intensity control and focus point function.)

Hair Segmentation

Segregates the hair area in real-time on ARM CPU, and applies a dyeing effect on mobile GPU. (OpenGL ES 2.0.)

Real-time Mobile 3D Motion Capture

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Highly generalized, achieving high accuracy even in very challenging poses. Despite being a real-time algorithm running on mobile, it achieved the world’s best performance on the 3DPW test set. (March 2024 ~ today)

Procrustes analysis – mean per joint position error (the lower, the better)

Our Algorithm

01

APLA’s real-time algorithm on mobile achieved higher accuracy than the latest SOTA algorithms using high-spec PC GPUs.

02

The most widely used accuracy metric in global 3D human pose estimation papers.

03

Lower PA-MPJPE indicates higher accuracy.

Have a question? Reach out to our team!

Grow into a global tech leader with APLA’s AI solutions. We're always open to exploring new business opportunities.

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에이플라 주식회사 ㅣ APLA Inc.

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