Edited By
Tanya Melton
A growing number of players are sharing concerns over the clarity of images processed by the DLSS Transformer Model in games like The Last of Us 2. This discussion has gained traction since many gamers noted that these images fall short compared to native settings with TAA.
The DLSS (Deep Learning Super Sampling) Transformer Model aims to upscale lower resolution images to higher display resolutions. With settings like "Preset K" and DLSS Quality mode enabled, players have tried to enhance their gaming experience. However, reports indicate that several feel the results are underwhelming.
Many players tested the efficacy of DLSS by comparing it with the gameโs DLAA, often noting that DLAA appears superior in various aspects, except for ghosting effects or an overly sharpened appearance.
The feedback from players highlights key themes:
Mixed Expectations: Some users find their clarity expectations are not met by DLSS, describing images as "very soft" and akin to upscaled 960p.
Frustrations with Oversharpening: Others pointed out that settings can lead to oversharpening, reminiscent of titles like Borderlands, which detracts from visual quality.
Alternative Solutions: There is a call for better methods to achieve clearer visuals without artifacts or compromises.
"If it looks oversharpened to you, then what about images without temporal AA?"
This comment reflects growing uncertainty among users regarding clarity standards in gaming visuals.
Curiously, while many players express disappointment, a few are still hopeful about future updates improving DLSS performance.
๐ Many users report dissatisfaction with the clarity provided by DLSS.
๐ "DLAA looks superior except for ghosting and sharpened look" - common sentiment.
๐ก Users seek clearer image options using DLSS without artifacts.
As the conversation grows, concerns regarding the effectiveness of the DLSS Transformer Model in enhancing image quality continue to mount. Will developers step up to address these issues, or will gamers have to seek alternatives for optimal visuals? Stay tuned as we bring more updates on this evolving topic.