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00:00:00 – 00:17:27
The video focuses on Nvidia's latest 511.23 driver release, emphasizing the advancements like Deep Learning Dynamic Super Resolution (DLDSR) over traditional downsampling techniques. DLDSR leverages deep learning for improved image quality, stability, and anti-aliasing effects. The comparison between DL DSR and the older DSR highlights better edge gradients and anti-aliasing effects with DL DSR. The video also discusses various settings and filters to enhance visual quality, pointing out improvements in image quality, edge gradients, and motion aliasing with DL DSR. Overall, DLDSR is showcased as a significant advancement, offering better performance and visual quality, especially when combined with DLSS in games like God of War.
00:00:00
In this part of the video, the focus is on Nvidia’s latest 511.23 driver release, which includes improvements such as an Nvidia Freestyle filter, screen space ray trace global illumination, and deep learning dynamic super resolution (DLDSR). The video explains how DLDSR, which leverages deep learning, is an advancement over the previous driver’s downsampling technique. The original downsampling (DSR) was introduced in 2014, aimed at rendering games at higher resolutions and outputting them at lower resolutions for improved image quality. The demonstration showcases the impact of DSR on image stability, detail enhancement, and anti-aliasing effects.
00:03:00
In this segment of the video, the speaker discusses the performance impact of down sampling on an RTX 2060 GPU. They compare downsampling at 4x and 2.25x resolutions and point out that the 2.25x downsampling, although higher resolution, does not look as good due to the uneven scaling compared to a 4x downsampling like DSR 4x. The uneven scaling issue can be remedied using filters, such as the Gaussian filter in the NVIDIA driver, which helps smooth out the downsampling results. Adjusting the smoothness setting to a default value improves the visual quality, reducing oddities and improving anti-aliasing.
00:06:00
In this segment of the video, the discussion focuses on the comparison between the previous DSR (Dynamic Super Resolution) technology and the new DL DSR (Deep Learning Dynamic Super Resolution). The new DL DSR appears to use inferencing or machine learning techniques on a per-pixel basis to improve down-sampling results. It is noted that the DL DSR is more effective at zero percent smoothing compared to the original DSR, resulting in better edge gradients and anti-aliasing effects. However, it is mentioned that the new down-sampling filter of DL DSR is around three percent slower and that using zero percent smoothing may create artifacts like intense sharpening patterns in textures. The segment emphasizes the improvements and issues of the DL DSR technology over the older DSR.
00:09:00
In this segment of the video, the speaker discusses the comparison between various DSR (Dynamic Super Resolution) settings with and without smoothing filters. They highlight the improved image quality with DL DSR (Deep Learning Dynamic Super Resolution) in terms of smoother edges, reduced aliasing in motion, and better completion of fine details like hair strands. The speaker also mentions a potential temporal anti-aliasing effect with DL DSR. They emphasize the cleaner and less distracting visuals with DL DSR when compared to traditional DSR, especially during motion. The segment concludes with a comparison between DL DSR at 2.25x and the old DSR at 4x, noting the improvements in image quality with the new DL DSR settings.
00:12:00
In this segment of the video, the speaker discusses the performance and visual quality of DL DSR (Deep Learning Dynamic Super Resolution) at 2.25x compared to the previous DSR at 4x. They highlight improvements in edge gradients, sharpening behavior, and overall image quality, but note limitations in handling sub-pixel aliasing in detailed areas like hair and depth of field. The speaker finds that while DL DSR is comparable to the old DSR in some aspects, it falls short in critical areas. They also share a tip on maximizing image quality using DL DSR in combination with DLSS (Deep Learning Super Sampling) in games like God of War to enhance visuals while minimizing performance impact.
00:15:00
In this segment of the video, the speaker discusses the DLSS network and how it compares in cost and quality to rendering real pixels. They highlight the different modes of DLSS, such as quality mode and balanced mode, showing examples of improved performance and visual quality, especially in reducing flickering and improving foliage details. The speaker concludes that DLDSR is a significant advancement, comparable to DSR4X but with better performance due to lower resolution. They express a desire for Nvidia to offer more than just two modes for DLSS. To support Digital Foundry, viewers are encouraged to like, subscribe, and support on Patreon.