Technology

TAA vs. FXAA: Which Is Best Anti-Aliasing Technology?

Typically, when it comes to anti-aliasing methods, there are two options: What is the difference between TAA and FXAA?

Which of these two anti-aliasing techniques is better for your needs will be examined in this post.
The temporal characteristics of video are utilized by the anti-aliasing method known as Temporal Anti-Aliasing (TAA) to improve image quality.

Accordingly, TAA examines video frames by examining them as they are drawn and antialiasing the pixels in those frames before they are shown on the screen. The overall image could seem smoother as a consequence since the jagged edges that commonly show when aliasing is used are eliminated.

FXAA, a sped-up variant of TAA, uses a more complex algorithm to accomplish the same results. You may reduce the amount of time it takes to generate an image by using FXAA since it uses more severe anti-aliasing techniques than TAA. However, FXAA is not always the best choice since it can also make certain visual artifacts obvious.

This article will discuss the two anti-aliasing methods that are most frequently used: Temporal Anti-Aliasing (TAA) and FXAA. To decide which is ideal for different sorts of images, we’ll compare their benefits and drawbacks.

Table of Contents

What do video games and graphic anti-aliasing mean?

You’ve arrived at the right site if you’re seeking for a high-quality anti-aliasing solution! TAA and FXAA, two of the most widely used anti-aliasing techniques, will be compared in this article. We’ll go over what each accomplishes and which is preferable in various circumstances.

Anti-Aliasing: What is it?

Onscreen textures and jagged lines are smoothed out using anti-aliasing technology. TAA and FXAA are the two primary forms of anti-aliasing.

TAA is a more conventional anti-aliasing method that examines each pixel’s edges using a triangular grid. The pixel is blurred if an edge runs up to one of the grid points. Despite being slower than FXAA, this approach is usually more successful.

FXAA is a more recent anti-aliasing approach that employs an algorithm to recognize image boundaries and automatically blur them. Although this method is quicker than TAA, results may occasionally be less precise.
In the options section of most games, TAA and FXAA can both be turned on.

https://www.youtube.com/watch?v=PZFmks8Zc-s

PUBG Console Graphics Update – FXAA vs TAA (Anti-Aliasing Update Xbox/PS5) (https://www.youtube.com/watch?v=PZFmks8Zc-s)

What exactly is temporal antialiasing?

An anti-aliasing technique called temporal anti-aliasing leverages the temporal properties of video to enhance image quality. This means that TAA processes video frames by analyzing them as they are drawn and anti-aliasing the pixels in those frames before they are presented on the screen.

Because the jagged edges that frequently emerge when aliasing is utilized are removed, the overall image may appear smoother as a result.

What exactly is FXAA?

FXAA is a faster variation of TAA that uses a more complicated algorithm to achieve the same results. FXAA is successful at shortening the time it takes to render a picture because it applies more aggressive anti-aliasing techniques than TAA. FXAA, on the other hand, can cause some artifacts to appear in images, making it not necessarily the best option in all circumstances.

Temporal Anti-Aliasing is better for smoother images with less jaggedness, whereas FXAA is better for cutting rendering times and removing jagged image artifacts.
Now that we’ve learned a little bit about the different types of anti-aliasing, let’s have a look at how they work.

We’ll look at the two most frequent methods of anti-aliasing in this post: Temporal Anti-Aliasing (TAA) and FXAA. We’ll examine their benefits and drawbacks, as well as whether one is best for particular types of images.

FXAA, a sped-up variation of TAA, achieves the same results by employing a more advanced algorithm. FXAA can help you reduce the time it takes to generate an image since it applies more aggressive anti-aliasing techniques than TAA.

However, FXAA isn’t always the best option because it can make some visual artifacts obvious.

In general, FXAA is superior for speeding up rendering and removing artifacts from jagged images, whereas Temporal Anti-Aliasing is superior for smooth images with minor jaggedness.

Now that we’ve established a fundamental grasp of the various types of anti-aliasing, let’s look at how they work.

This article will go over the two most common anti-aliasing techniques, Temporal Anti-Aliasing (TAA) and FXAA. We’ll weigh their benefits and drawbacks to see which is ideal for different types of images.

https://youtu.be/BaQAtSv33e0

Final Fantasy XV 4K DLSS vs TAA vs FXAA vs NO AA | RTX 2080 TI Performance Comparison (https://youtu.be/BaQAtSv33e0)

What is the Process of Anti-Aliasing?

Anti-aliasing technology is used in video games to soften the edges of objects on the screen. The two basic types of anti-aliasing are temporal anti-aliasing (TAA) and spatial anti-aliasing (SAA) (FXAA). While FXAA employs individual image samples, TAA takes an average of the pixels over time.

Each has its own set of pros and downsides. TAA is gentler on the graphics hardware, but it can cause artifacts in locations with a lot of data. FXAA needs more effort but can provide clearer images. The best option for any individual game is determined by its exact requirements.
How can I activate the anti-aliasing feature in my video game?

While some games let you enable anti-aliasing through the settings menu, others need you to use a third-party software package. In general, locate the anti-aliasing option and adjust it to TAA or FXAA.

What Is the Difference Between TAA and FXAA?

Tile anti-aliasing and sample anti-aliasing are the two most used anti-aliasing approaches. Tile anti-aliasing, for example, uses a grid of squares to help smooth the sharp edges of textures. By capturing a single region sample at a time, sample anti-aliasing smoothes the image.

In 2012, AMD’s Radeon HD 7000 series included TAA (Temporal Anti-Aliasing), a more contemporary method of anti-aliasing. TAA produces a smoother image by integrating many photographs of the same scene taken at different points in time. FXAA, or Fast Approximate Anti Aliasing, is an older kind of anti-aliasing that was introduced in 2005 alongside Intel’s integrated graphics. FXAA analyses the pixels on the screen and slightly alters their color values based on where they are on the screen.

The best anti-aliasing for you will be determined by your graphics hardware and your aims. If you want general smoothing, TAA will outperform FXAA on the vast majority of graphics cards. If you need more control over the level of smoothing, FXAA may be a better solution.

FXAA vs. TAA: Pros and Cons

Two alternative anti-aliasing techniques that can be utilized in video games are FXAA and TAA. A more recent approach called FXAA consumes less power than TAA but performs less effectively at high resolutions. The more conventional anti-aliasing technique, TAA, uses more power but performs better with high resolutions. The pros and drawbacks of each are listed below:

FXAA (Fast Approximate Anti-Aliasing)

Pros:

Rendering swiftly: FXAA is a speedy and effective approach that can be used quickly, making it a viable option for games and other applications that need to keep a high frame rate.
Low-performance impact: Because of its low-performance impact, FXAA is a viable option for systems with constrained hardware resources.
FXAA is reasonably simple to implement in comparison to other approaches because it only needs to pass through the frame buffer once.

Cons:

Image quality is worse than TAA due to FXAA’s use of a blur filter to the entire image, which can cause a loss of detail and a softer overall image compared to TAA.
As was already mentioned, the blur filter used by FXAA might cause a loss of clarity and a softer overall image, which may not be appealing to all users.

TAA (Temporal Anti-Aliasing)

Pros:

Excellent image quality is achieved through TAA’s ability to reduce visual artifacts and smooth down jagged edges.
Reduces visual artifacts and softens jagged edges: TAA creates a smoother image by comparing the changes between the current frame and the previous frame.

This can successfully eliminate sharp edges and minimize visual artifacts like the “staircase” effect.
Reduces flickering and other visual artifacts: TAA can also assist in reducing flickering and other visual artifacts, improving the stability and comfort of the image.

Cons:

Possibility of ghosting from prior frames: TAA uses information from earlier frames to smooth out edges in the current frame, which occasionally leads to ghosting when objects from earlier frames are still discernible in the present frame. When there is rapid movement in the game or program, this may be especially obvious.

Impact on performance: TAA can have a little bigger performance impact than FXAA since it uses more processing resources to evaluate discrepancies between the current frame and the preceding frame.

Slight blurriness: TAA may also cause the image to appear slightly blurry, which some users may find undesirable.

https://youtu.be/Za3LVngfNxU

SMAA vs FXAA vs TAA / Resident Evil 7: Biohazard / GTX 1070 / 4790K (https://youtu.be/Za3LVngfNxU)

Conclusion

We contrast their advantages and disadvantages and give you our recommendation for the ideal gaming system. In the end, it comes down to personal preference; if you’re satisfied with the outcomes generated by either method, there’s no need to make any changes. FXAA ought to be your first option, though, if you want even greater graphics performance or are seeking for a TAA substitute that gives superior image quality in specific circumstances.

FAQ’s

Anti-aliasing is what?

A technique called “anti-aliasing” lessens the jaggedness or “aliasing” of lines on graphic images. When graphical data is sampled too quickly for the human eye to notice, aliasing can happen. By blurring these edges or filtering the image before it is presented, anti-aliasing techniques strive to eliminate these sharp edges.

What are the top two anti-aliasing styles?

Anti-aliasing can be divided into two categories: texture anti-aliasing (TAA) and post-processing anti-aliasing (PPAA). TAA attempts to lessen aliasing by enhancing the textures of objects close to the camera. To enhance image quality and eliminate pixels with aliased edges, PPAA employs a more advanced level of pixel shader processing.

Which one ought I to employ?

Your personal tastes and system requirements will determine this. You can test both TAA and PPAA to discover which one performs best if your machine is sufficiently powerful. As an alternative, you can decide on one form of anti-aliasing and use it consistently regardless of the hardware you use.

Do all of my images need anti-aliasing?

No, not every image requires the usage of anti-aliasing. It should always be used on high-resolution photos and in particularly challenging render places, though, if you’re striving for a high-quality effect.

What distinguishes TAA and PPAA from one another?

TAA is less sophisticated than PPAA, which provides superior image quality. To clean up pixels with aliased edges, it applies a more advanced level of pixel shader processing.

Intellectual Insider

+ posts

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.

Technology

Agentic AI startup AMT aims to be ‘Google Adwords for influencers,’ raises seed round

Tom Hollands and Christian Johnston cofounders of AMT

Booking an ad campaign with social media influencers is currently not exactly easy. For starters, influencers’ approaches to marketing can be unconventional, and there’s no standard way to engage with them. On the other side, marketing agencies that employ hosts of people to book and track brand campaigns are limited by how many influencers they can engage at any one time.

Put simply, the creator marketing ecosystem is being held back in many ways by the old-world ad/marketing agency model. Wouldn’t it be easier if an AI chatbot could do all the heavy lifting, interacting naturally with an influencer via a platform that’s able to scale across hundreds of ad campaigns?

That’s the idea behind the company Agentic Marketing Technologies (AMT), which has raised $3.5 million in a seed funding round led by San Francisco-based VC NFX.

AMT works by getting its AI agent, dubbed Lyra, to talk to influencers using natural language, helping with tasks like booking campaigns, tracking results, making payments, and answering queries. The company claims Lyra can also autonomously find influencers that match a campaign’s goals.

Tom Hollands, co-founder and CEO of AMT, told TechCrunch he became familiar with the challenge after managing influencer marketing budgets himself. Co-founder Christian Johnston (CTO) previously built adtech data infrastructure.

“The problem in the market today is that the way that you scale influencer marketing is you hire 22-year-olds who are working 20 hours a day, and you load them up with as many partnerships as possible until they break,” Hollands said. “They can’t remember the names of the influencers that they message, and they spend all their time manually following up,” said Hollands.

AMT employs a combination of AI models, including OpenAI’s for general use, Google’s Gemini for multimodal (i.e. analyzing creators’ videos), and Hume AI’s for “tone.” Hollands added, “We use the best model for each task, independent of the provider.”

Hollands argues that because AI can actually “watch” and “understand” influencer content to a degree, it can deliver a much more personalized experience.

“[AI] can actually understand the tone of voice of each influencer,” Hollands said. “It means it’s possible to communicate with one influencer across multiple brands the way [a] partnerships manager would because it has a relationship history of all of these different conversations.”

Launched three months ago, AMT, which is relocating from London to San Francisco, says it has already attracted customers such as Le Petit Luetier, Neoplants, and Wild.

The influencer market is projected to be worth $266.92 billion this year, and traditional influencer marketing SaaS platforms like GRIN and Upfluence, as well as marketplaces like ShopMy and Agentio, require human involvement to run campaigns. These typically charge by seat. AMT’s AI-driven approach, obviously, has drastically different economics, given that far fewer humans are involved.

AMT says it usually takes nine hours of manual work to secure a single influencer partnership, but just five minutes with its platform.

In a statement, Pete Flint, general partner at NFX, added: “AI is fundamentally reshaping industries, and marketing is no exception. AMT’s approach is unique in that it isn’t just building tools, it’s replacing human work with AI, making it an inevitable part of the marketing stack for brands worldwide.”

Intellectual Insider

+ posts

Technology

Trump fires FTC commissioners, setting up a legal battle

President Trump fired the two Democratic members of the Federal Trade Commission on Tuesday, setting up a challenge to a 1935 Supreme Court precedent prohibiting the firing of FTC commissioners for reasons other than “good cause.”

The White House terminated commissioners Rebecca Kelly Slaughter and Alvaro Bedoya earlier Tuesday, The New York Times reported. In a statement, Slaughter called the firings “illegal.”

“Today the president illegally fired me from my position as a federal trade commissioner, violating the plain language of a statute and clear Supreme Court precedent,” Slaughter said. “Why? Because I have a voice. And he is afraid of what I’ll tell the American people.”

The FTC, which typically has five members, was established in 1914 and is charged with enforcing consumer protection and antitrust laws. The Trump administration has aggressively challenged the authority of independent regulatory agencies, including the FTC.

Intellectual Insider

+ posts

Technology

YC-backed food supply startup Vendease restructures employees’ salaries

Y Combinator-backed Nigerian food procurement startup Vendease has changed its employee pay structure and is seeking fresh capital, TechCrunch has learned.

This is after laying off 44% of its workforce — around 120 employees —last month, marking its second round of job cuts in five months. In the latest development, the startup has now replaced employees’ traditional salaries with a performance-based pay system, supplemented by an Equity Share Option Plan (ESOP), according to internal documents seen by TechCrunch.

The five-year-old startup, which raised $30 million in its Series A round led by Partech Africa and TLcom Capital, said the restructuring was necessary to navigate to profitability.

Vendease’s new compensation model includes a five-phase salary recovery plan, the documents say.

In February, all employees received a ₦140,000 (~$90) salary, regardless of previous pay. From March to May, the company will raise employees’ wages to 30% of former levels if they meet performance targets, though it hasn’t specified these targets, the documents say.

Compensation will increase to 60% of former salaries from June to August and 90% from September to November, with full salary restoration expected by December again contingent on company and employee performance goals.

The unpaid portions of the salaries will convert into share options under the ESOP, with 50% vesting over ten months and the rest over three years. But employees can only exercise these options at a board-approved fair market value, according to the employee agreement.

The company confirmed the changes to employee pay insisting that it is now at a break even point, even close to profitability.

“Vendease has restructured both its business and operations. We’re a software company, and we want to focus on facilitating OPEX-heavy operations with technology rather than handling them ourselves,” a company spokesperson told TechCrunch.

It says the changes are intended to encourage employee productivity while the company grows more financially sustainable. “We only spend what we earn, which keeps us consistently at break-even and focused on profitability,” the spokesperson added.

With slightly over 150 employees left, Vendease is betting on internal restructuring, fresh capital, and AI-driven efficiency to cut costs and sustain operations. As the company points out, this also means focusing more on software-driven growth and doubling down on its sales and payments solutions and credit marketplace while gradually phasing out warehousing and logistics operations.

Betting on BNPL to stay afloat

Founded in 2019 by Tunde Kara, Olumide Fayankin, Gatumi Aliyu, and Wale Oyepeju, Vendease set out to streamline food procurement for African restaurants and food businesses.

The startup claimed it could eliminate inefficiencies in the food supply chain, which cost businesses billions annually. By 2022, it had moved 400,000 metric tonnes of food for over 2,000 customers, it said, saving them $2 million in procurement costs and cutting wastage-related losses by nearly $500,000 in Nigeria, its main market.

But the last two years have been brutal for Vendease and many Nigerian startups without FX-denominated revenue. Since its Series A in September 2022, its revenue in Nigeria’s naira has tripled, but the currency’s sharp depreciation within the last three years has wiped out those gains in dollar terms. Inflation has further increased operational costs, squeezing profitability for the capital- and people-intensive business.

One of Vendease’s main revenue drivers within the past year has been its buy now, pay later (BNPL) product. Traditional lenders often avoid food businesses due to their volatility and fragmentation. But Vendease leverages its supply chain knowledge to underwrite loans via its marketplace, which connects financial institutions with food businesses.

The company claims a default rate of under 1% over the last two years and has issued over $70 million in credit as of September 2024.

When CFO Mohamed Chaudry joined in January 2024, he helped identify BNPL as a key path to profitability. However, despite some recent tweaks, the credit product alone doesn’t seem to be enough to get Vendease there.

His appointment also set off the ongoing restructuring to tighten financial controls and extend its cash runway, which, according to sources, may only last a few more months.

As such, the company is in talks with existing and new investors to raise a bridge round, money it will use to fund technology growth and expansion rather than operational expenses.

Meanwhile, sources also say Vendease has explored a potential sale to other players in the HORECA (Hotels, Restaurants, and Catering) and FMCG sectors.

The company, however, disputes this and insists it’s the other way around. “It’s normal to get approached for M&A, especially when you’re a fast-growing business operating in a unique space like food. Yes, Vendease has been approached, but the founders are focused on scaling, not selling anytime soon,” said a spokesperson.