How to Transform VR Scenes into Visually Stunning Experiences in Four Simple Steps

To address low imaging quality of a self‑developed VR laser device, a dedicated "image beautification" project was launched, focusing on four optimization directions: hardware, shooting process, image preprocessing, and filter effects.

Step 1 – Hardware Optimization

Hardware issues such as lenses and components were identified, and a set of raw‑image quality standards aligned with laser hardware specifications was established to guide subsequent improvements.

Step 2 – Shooting Optimization

A dedicated shooting studio was built, referencing professional optical labs. Common lighting conditions and scene objects were catalogued, and a test set was created to compare and select the optimal shooting environment.

Step 3 – Editing Optimization

Because VR scenes are large and complex, global color adjustments alone cannot achieve uniform lighting and pleasant tones. The workflow limits the color model to modify hue, saturation, and temperature while keeping brightness adjustments separate, allowing developers to fine‑tune exposure before applying the color filter.

Step 4 – Filter Effect

A distinctive image style for the 58 platform was defined, emphasizing recognizability and quality. Designers produced nine style variants, narrowed to three through initial screening, and finally selected style #7 (warm reddish tones) after blind testing.

Following style selection, two production phases were executed: the first generated 790+ beautified images, revealing color‑shift issues due to excessive saturation; the second applied per‑image fine‑tuning to achieve the desired style.

After the second round of adjustments, machine‑learning models produced images that met the target style expectations. The overall "four‑step beautification" pipeline successfully improved VR visual quality, though challenges remain regarding style generalization, filter universality, and the need for ongoing evaluation standards.