State of the Art on Deep Learning-enhanced Rendering Methods
Photorealistic rendering of the virtual world is an important and classic problem in the field of
computer graphics. With the development of GPU hardware and continuous research on …
computer graphics. With the development of GPU hardware and continuous research on …
Frame interpolation transformer and uncertainty guidance
Video frame interpolation has seen important progress in recent years, thanks to
developments in several directions. Some works leverage better optical flow methods with …
developments in several directions. Some works leverage better optical flow methods with …
Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering
Recent advances in supersampling for frame generation and super-resolution improve real-
time rendering performance significantly. However, because these methods rely heavily on …
time rendering performance significantly. However, because these methods rely heavily on …
Inovis: Instant novel-view synthesis
Novel-view synthesis is an ill-posed problem in that it requires inference of previously
unseen information. Recently, reviving the traditional field of image-based rendering, neural …
unseen information. Recently, reviving the traditional field of image-based rendering, neural …
Kernel-Based Frame Interpolation for Spatio-Temporally Adaptive Rendering
Recently, there has been exciting progress in frame interpolation for rendered content. In
this offline rendering setting, additional inputs, such as albedo and depth, can be extracted …
this offline rendering setting, additional inputs, such as albedo and depth, can be extracted …
Adaptive Recurrent Frame Prediction with Learnable Motion Vectors
The utilization of dedicated ray tracing graphics cards has revolutionized the production of
stunning visual effects in real-time rendering. However, the demand for high frame rates and …
stunning visual effects in real-time rendering. However, the demand for high frame rates and …
Mnss: Neural supersampling framework for real-time rendering on mobile devices
Although neural supersampling has achieved great success in various applications for
improving image quality, it is still difficult to apply it to a wide range of real-time rendering …
improving image quality, it is still difficult to apply it to a wide range of real-time rendering …
Deep fourier-based arbitrary-scale super-resolution for real-time rendering
H Zhang, J Guo, J Zhang, H Qin, Z Feng… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
As a prevailing tool for effectively reducing rendering costs in many graphical applications,
frame super-resolution has seen important progress in recent years. However, most of prior …
frame super-resolution has seen important progress in recent years. However, most of prior …
Efficient light probes for real-time global illumination
J Guo, Z Zong, Y Song, X Fu, C Tao, Y Guo… - ACM Transactions on …, 2022 - dl.acm.org
Reproducing physically-based global illumination (GI) effects has been a long-standing
demand for many real-time graphical applications. In pursuit of this goal, many recent …
demand for many real-time graphical applications. In pursuit of this goal, many recent …
Neural foveated super‐resolution for real‐time VR rendering
As virtual reality display technologies advance, resolutions and refresh rates continue to
approach human perceptual limits, presenting a challenge for real‐time rendering …
approach human perceptual limits, presenting a challenge for real‐time rendering …