High-definition, low-latency display of Chinese paintings is essential for Chinese painting VR exhibition applications. Due to the limited memory and GPU resources on mobile VR headsets, it is challenging to display a large number of high-resolution Chinese painting textures simultaneously. Moreover, direct viewing of fine details is hindered by mipmap management and the low resolution of mobile VR devices. This study proposes an improved virtual texture method, optimizing both tile request calculation and tile loading stages based on existing virtual texture methods. In the tile request calculation phase, the method incorporates tile request computations for magnified perspectives. Compute Shader is utilized to parallelize the processing of tile request parameters, and hashing is applied to minimize overhead when constructing result caches. In the tile loading phase, lock-free queues are implemented to enhance loading efficiency. A direct loading strategy for request tiles, constrained by a quantity threshold, reduces display latency. The performance and texture display effects are evaluated in scenarios with single or multiple Chinese paintings, simulating user behavior. Results show that the proposed method supports high-definition, low-latency display of high-resolution Chinese painting textures on mobile VR devices. Magnification-assisted perspectives allow for clear viewing of the finest texture details. Compared to existing virtual texture methods, such as Unreal SVT, the proposed method achieves higher frame rates and reduces display latency for high-resolution texture tiles of multiple Chinese paintings.