The Ultimate Guide to Image Upscalers in Modern Gaming: DLSS, FSR, and XeSS Explained

Image upscalers have become an essential part of modern gaming, as new titles demand more and more from your hardware. Even top-tier graphics cards sometimes struggle to deliver stable frame rates at maxed-out settings with full ray tracing enabled. To solve this, developers have introduced smart upscaling technologies. While NVIDIA DLSS leads the market, competitors like AMD FSR and Intel XeSS offer equally powerful alternatives.

In this article, we'll take a closer look at how modern image upscalers actually work, explore the different algorithms from top manufacturers, and help you determine which setting to enable for smooth gameplay without sacrificing visual quality.

What is upscaling in games and why is it needed?

Upscaling is the process of artificially increasing the resolution of the original frame. Instead of rendering a heavy 3D scene directly in 4K, your graphics card renders the game at a lower base resolution, like 1080p. Then, a specialized software or hardware-accelerated algorithm reconstructs the missing pixels, forming the final image.

This approach drastically reduces GPU load. The graphics system processes far fewer pixels and delegates the detail reconstruction to upscaling algorithms. As a result, resources are freed up, translating into significant FPS gains.

This is especially relevant for owners of older generation graphics cards who want to enjoy new releases smoothly. If you're looking for extra ways to optimize your system via software, check out our guide on how to boost FPS in games without upgrading your PC.

Native resolution vs. upscaling: what's the difference?

Native resolution means your GPU physically renders every pixel sent to your monitor. This delivers the sharpest, most accurate image, but comes at the cost of severe frame drops in demanding scenes.

With upscaling enabled, algorithms must quickly "guess" how missing visual information should look. The initial render is always at a lower resolution, so the system analyzes motion vectors and previous frames to reconstruct geometry and textures.

Early spatial upscalers often produced blurry images and ghosting behind fast-moving objects. However, today's technologies are so effective that, in high-quality modes, differences from native resolution are often imperceptible. In some cases, advanced anti-aliasing even makes the upscaled image appear more stable than the original.

AMD FSR (FidelityFX Super Resolution): a universal solution

Unlike NVIDIA's offerings, AMD's FSR is an open technology. FidelityFX Super Resolution doesn't require specialized tensor cores and works across a wide range of GPUs-including AMD, older NVIDIA cards, and even integrated graphics in modern CPUs.

This open approach has made FSR a lifesaver for millions of gamers. Developers don't need to spend time on complex integrations for specific hardware, so upscaling can be added even to projects lacking full DLSS support.

FSR algorithms have evolved from simple spatial scaling to advanced temporal reconstruction. This lets FSR deliver high image quality without neural networks or AI hardware blocks, making the technology maximally accessible for any modern PC.

FSR features and frame generation on older GPUs

A key feature of the latest FSR version is frame generation. AMD has implemented frame generation in a way that isn't tightly restricted to the newest graphics cards, unlike some competitors.

This means that owners of older GPUs can see a major FPS boost in demanding games. The system generates intermediate frames by using motion vectors and in-game data to deliver smoother visuals and fluid motion without putting much extra strain on the GPU.

It's important to remember that FSR frame generation on older hardware still requires a careful balance. Since the algorithm does add some CPU load and needs basic performance, overly aggressive settings can cause artifacts. Even so, for many users, this remains the best way to breathe new life into an aging system and enjoy the latest releases.

Intel XeSS: finding the middle ground

Although Intel entered the upscaler market later than its rivals, it introduced a flexible solution. Xe Super Sampling (XeSS) aims to combine the best of both worlds: advanced neural networks for precise image reconstruction, like NVIDIA's approach, and openness to a range of hardware.

XeSS offers two operational profiles. With an Intel ARC graphics card, the algorithm uses dedicated XMX matrix engines for maximum speed. If you're running older AMD or NVIDIA GPUs, XeSS switches to DP4a instructions, supported by most chips.

In practice, this means gamers get stable images in motion-often outperforming AMD's algorithms. Best of all, XeSS doesn't require exclusive hardware, offering an excellent balance between performance and visual quality on almost any system.

DLSS vs. FSR vs. XeSS: which is best for gamers?

Choosing the right technology depends on your hardware. Owners of current-gen RTX graphics cards should stick with NVIDIA DLSS. Hardware acceleration delivers the cleanest images, free from flickering and ghosting on small objects.

For users with AMD or older GTX GPUs, the choice comes down to comparing FSR and XeSS in each specific game. FSR typically provides the biggest FPS boost thanks to its lightweight software calculations. XeSS, meanwhile, excels at reconstructing complex geometry-like fences or foliage-with greater accuracy. If you're unsure which preset to choose, check out our guide FSR 3 vs. DLSS 3 in 2025: which to pick for gaming?.

Should you use upscaling at 1080p?

For a long time, it was thought that upscaling only made sense at 1440p or 4K. At Full HD, the base render gets very small, meaning the algorithm lacks enough geometric data for quality reconstruction, often resulting in a blurry image.

Today's upscalers, however, handle limited data much more effectively. If your PC can't cope with a demanding project at 1080p, don't hesitate to enable upscaling using the "Quality" preset. This will boost performance with minimal sharpness loss. Avoid "Balanced" or "Performance" modes at Full HD to prevent turning your graphics into a pixelated mess.

Conclusion

Image upscaling technologies have fundamentally changed the way we play and develop video games. NVIDIA DLSS remains the gold standard for image quality thanks to its hardware tensor cores and advanced neural networks-but it's only available to owners of current RTX GPUs. AMD FSR stands out for its phenomenal versatility and openness, delivering significant FPS gains on virtually any system. Meanwhile, Intel XeSS offers a strong alternative, striking a smart balance between high performance and intelligent image reconstruction.

If your graphics card supports DLSS, use it confidently. Otherwise, test FSR and XeSS in each game, prioritizing the "Quality" preset to maintain steady FPS and sharp visuals in your favorite virtual worlds.

FAQ

1. Do upscalers affect input lag?

   Basic upscaling (resolution increase) has almost no impact on system latency. However, frame generation functions take time to analyze and create new intermediate frames, which inevitably increases input lag. That's why frame generation algorithms are often paired with latency-reduction technologies like NVIDIA Reflex or AMD Anti-Lag.

2. Can you use FSR frame generation on NVIDIA GPUs?

   Yes. Because AMD FSR is open-source at the software level and doesn't require dedicated AI hardware, you can enable FSR frame generation even on older NVIDIA cards, such as the GTX 10 series or RTX 20/30 series.

3. Which is better: lowering graphics settings or enabling DLSS/FSR?

   In modern demanding games, enabling quality upscaling usually delivers better visuals than manually lowering graphics settings (shadows, textures, volumetric lighting). Upscaling in "Quality" mode preserves the beauty and effects intended by developers while providing a comparable performance boost.