4 papers
Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays
Zhenxing Dong, Jidong Jia, Yan Li +1
Recently, deep learning-based computer-generated holography (CGH) has demonstrated tremendous potential in three-dimensional (3D) displays and yielded impressive display quality. H…
Motion Hologram: Jointly optimized hologram generation and motion planning for photorealistic and speckle-free 3D displays via reinforcement learning
Zhenxing Dong, Yuye Ling, Yan Li +1
Holography is capable of rendering three-dimensional scenes with full-depth control, and delivering transformative experiences across numerous domains, including virtual and augmen…
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network
Xueshen Li, Zhenxing Dong, Hongshan Liu +3
Optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications can…
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
Zhenxing Dong, Hong Cao, Wang Shen +4
Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degrada-tion process from that in the real-worl…