The technology raises concerns about whether AI-generated visuals preserve a developer's original artistic intent, with some users calling for a dedicated "developer intended" visual mode. According to PCWorld, AI upscaling is becoming essential as hardware costs rise, though the debate over visual accuracy versus performance remains unresolved. Nvidia's controversial DLSS 5 is out this week, and it was a big topic of discussion in this week's episode of The Full Nerd. While I haven't had a chance to test it out myself, by the time you read this I'll be furiously updating my Nvidia drivers and seriously considering splurging on a copy of just to get a look at the earliest game to launch with official DLSS 5 support. I'm curious to see if the reported performance dips that come with enabling DLSS 5 are actually counteracted by Nvidia tech like Multi-Frame Generation, and I want to see what kind of tuning the player can do to adjust how DLSS 5's new real-time AI model upscales game graphics.

When you purchase through links in our articles, we may earn a small commission. Nvidia's DLSS 5 makes NBA 2K27 look incredibly real, which is kind of the problem NBA 2K27 shows off DLSS 5's impressive new realism -- and hints at a future where animation, not graphics, becomes gaming's weakest link. That sounds weird, but hear me out. Nvidia showed me and other journalists an early preview of 2K's NBA 2K27 ahead of the game's September 4 launch, because NBA 2K27 will also mark the debut of Nvidia's DLSS 5 technology, which applies AI models to rendered game scenes to drastically improve realism. It's the little things that sell it. Shadows fell naturally across Haliburton's hand as it gripped the ball.

Versus Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Creator Hub Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series The camera features upgrades to its sensors, frame rate, and form factor. Amanda Yeo is an Assistant Editor at Mashable, covering entertainment, culture, tech, science, and social good. Based in Australia, she writes about everything from video games and K-pop to movies and gadgets. Insta360 has launched the X6, its new flagship 8K 360 camera. Following last year's X5, the new X6 offers larger sensors, a higher frame rate, and 10-bit colour in an even more compact and rugged body. The Insta360 X6 had been rumoured for a while, with an FCC filing hinting at its release earlier this year .

When you purchase through links in our articles, we may earn a small commission. I capped my 240Hz monitor at 120 FPS. Cutting my gaming monitor's refresh rate in half barely changed my gameplay, but it dropped GPU power draw by up to 80W. When I bought my Alienware AW3225QF gaming monitor during last year's Prime Day sales, I mainly got it for the QD-OLED panel . But as an upgrade for a near-10-year-old Asus MG279Q, it was a major step up in multiple other ways: better resolution, better colors and contrast, better response time, and better refresh rate.

E.1 Limitations and Future Work - **1 -- Definitely AI-Generated**: Clear and frequent artifacts (e.g., blurry faces or objects, unnatural movements, inconsistent lighting), distorted shapes, 5) Exclude actions or descriptions (e.g., 'adjusting', 'imitating').

Modern video generation frameworks based on Latent Diffusion Models suffer from sumption.

Speech tokenizers serve as foundational components for speech language models, yet current designs exhibit several limitations, including: (1) dependence on multi-layer residual vector quantization structures or high frame rates, (2) reliance on auxiliary pre-trained models for semantic distillation, and (3) requirements for complex two-stage training processes.

Modern video generation frameworks based on Latent Diffusion Models suffer from inefficiencies in tokenization due to the Frame-Proportional Information Assumption. Existing tokenizers provide fixed temporal compression rates, causing the computational cost of the diffusion model to scale linearly with the frame rate. The paper proposes the Duration-Proportional Information Assumption: the upper bound on the information capacity of a video is proportional to the duration rather than the number of frames. Based on this insight, the paper introduces VFRTok, a Transformer-based video tokenizer, that enables variable frame rate encoding and decoding through asymmetric frame rate training between the encoder and decoder. Furthermore, the paper proposes Partial Rotary Position Embeddings (RoPE) to decouple position and content modeling, which groups correlated patches into unified tokens. The Partial RoPE effectively improves content-awareness, enhancing the video generation capability. Benefiting from the compact and continuous spatio-temporal representation, VFRTok achieves competitive reconstruction quality and state-of-the-art generation fidelity while using only $1/8$ tokens compared to existing tokenizers.

All RSTB blocks consist of 6 STB blocks. Each sequence contains 33 frames. Blurry images with different motion magnitudes are generated by averaging the surrounding 33 or 65 images. S1, we observe that the introduction of CAMMA also improves the performance of de-blurring across all settings. We have added comparisons regarding computational complexity and inference time in Tab.