this post was submitted on 03 Jun 2024
80 points (95.5% liked)

PC Gaming

8675 readers
846 users here now

For PC gaming news and discussion. PCGamingWiki

Rules:

  1. Be Respectful.
  2. No Spam or Porn.
  3. No Advertising.
  4. No Memes.
  5. No Tech Support.
  6. No questions about buying/building computers.
  7. No game suggestions, friend requests, surveys, or begging.
  8. No Let's Plays, streams, highlight reels/montages, random videos or shorts.
  9. No off-topic posts/comments, within reason.
  10. Use the original source, no clickbait titles, no duplicates. (Submissions should be from the original source if possible, unless from paywalled or non-english sources. If the title is clickbait or lacks context you may lightly edit the title.)

founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 8 points 6 months ago (3 children)

Techniques ro only render what is on screen has been a thing for decades.

[–] [email protected] 14 points 6 months ago

This is kind of the opposite of that idea though. This is saying that not everything put on the screen needs to be computed from the game engine. Some of the content on the screen can be inferred from a predictive model. What remains to be seen is if that requires less computing power from the GPU.

[–] [email protected] 11 points 6 months ago* (last edited 6 months ago) (1 children)

Yes, but with DLSS we're adding ML models to the mix where each one has been trained on different aspects:

Interpreting between frames
For instance, normally you might get 30FPS, but between the frames the ML model has an idea of what everything should look like (based off of what it has been trained on), so it can insert additional frames to boost your framerate up to 60FPS or more.

Upscaling (making the picture larger) - the CPU and other hardware can do work on a smaller resolution which makes their job easier, while the ML model here has been trained on how to make the image larger while filling in the correct pixels so that everything still looks good.

Optical Flow -
This ML model has been trained in motion which objects/pixels go where so that better prediction of frame generation can be achieved.

Not only that but Nvidia can update us with the latest ML models that have been trained on specific game titles using their driver updates.

While each of these could be accomplished with older techniques, I think the results we're already seeing speak for themselves.

Edit: added some sources below and fixed up optical flow description.

https://www.digitaltrends.com/computing/everything-you-need-to-know-about-nvidias-rtx-dlss-technology/
https://www.youtube.com/watch?v=pSiczcJgY1s

[–] [email protected] 6 points 6 months ago (1 children)

It has yes, however the techniques Carmack used in Doom's engine probably don't have much of an impact on something like Cyberpunk 2077.