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The Revolution in Video Generation from Photos

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The Revolution in Video Generation from Photos

From the latest advancements in artificial intelligence to innovation in digital animation, technology continues to astound us with new tools that push the boundaries of what’s possible. One of the latest additions to this repertoire is VLOGGER, an AI developed by Google that is making waves in multimedia content creation.

 

Introduction to VLOGGER

VLOGGER, whose name is an acronym for “Video Logger,” represents a significant milestone in the convergence of static imagery and dynamic motion. In essence, it is a tool that transforms a still photograph into a fully animated video, with the ability to track the audio and facial movements of the person in the original image. How is this possible? The answer lies in combining advanced artificial intelligence models and real-time image processing techniques.

This article delves into the fascinating world of VLOGGER. From its conceptualisation to its practical application, we will discover how this innovative AI is changing how we interact with digital images and video.

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How VLOGGER Works: From Static Image to Dynamic Video

The magic behind VLOGGER lies in its complex architecture of artificial intelligence, which enables the transformation of a simple photograph into an animated and realistic video. How does this fascinating system work?

The architecture of VLOGGER:

VLOGGER is based on a multimodal diffusion architecture, which combines 3D motion generation techniques with real-time image-to-image translation models. At its core, it consists of two fundamental stages.

1.   3D Motion Generation:

In this initial phase, VLOGGER takes a static photograph of a person and a corresponding audio clip as input. Using a 3D motion generation model, the AI maps the audio information to create a three-dimensional representation of the person’s facial, gestural, and postural movements in the image. This process involves predicting facial expressions, head movements, hand gestures, and other details that bring the animated avatar to life.

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2.   Real-time Image-to-Image Translation:

Once the 3D motion has been generated, VLOGGER uses an image-to-image translation model to convert this information into coherent, dynamic video frames. This model, powered by temporal diffusion techniques, considers both visual and temporal information to generate smooth and natural transitions between frames, creating the illusion of fluid and realistic movement.

Training and Data for VLOGGER:

An extensive multimedia dataset called MENTOR, consisting of thousands of hours of videos of people speaking, was used to train the VLOGGER model. Each video is meticulously labelled, allowing the AI to learn and understand the nuances of human movements in different contexts and situations.

VLOGGER is the result of years of research in artificial intelligence and image processing. It combines the best disciplines to offer a unique and astonishing video generation experience.

Uses and Applications of VLOGGER: Beyond Video Generation

VLOGGER represents a technological advancement in video generation from static images and opens various possibilities in various areas and sectors. Below, we will examine some of the most promising applications of this innovative technology:

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Video Translation:

One of VLOGGER’s most immediate applications is its ability to translate videos seamlessly and realistically from one language to another. For example, the AI can take an existing video in a particular language and modify lip movements and facial expressions to match an audio track in another language. This not only simplifies the process of dubbing and localising audiovisual content but also significantly enhances the viewer’s experience by offering precise synchronisation between audio and image.

Creation of Animated Avatars:

VLOGGER can create animated avatars for various applications, such as virtual assistants, chatbots, video game characters, and more. These avatars can interact with users naturally and realistically, providing a more immersive and engaging user experience. Additionally, customising avatars according to user preferences and needs offers excellent versatility and flexibility in their implementation.

Low Bandwidth Video Communication:

VLOGGER can provide an effective real-time video communication solution in environments with limited bandwidth or internet connectivity unreliable. By generating an animated avatar from a static image and an audio clip, the AI can efficiently transmit voice messages and facial expressions without relying on large amounts of data. This is especially useful in virtual reality applications, where interpersonal interaction is crucial in immersing the user in the virtual environment.

Education and Entertainment:

VLOGGER also has potential applications in education and entertainment. For example, teachers can use animated avatars to deliver lessons more dynamically and engagingly, capturing students’ attention and facilitating learning. Similarly, content creators can use AI to produce high-quality multimedia content more efficiently and cost-effectively, reaching broader and more diverse audiences.

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Challenges and Limitations of VLOGGER: Important Considerations to Keep in Mind

Despite its impressive capabilities and potential to transform how we interact with multimedia content, VLOGGER also faces challenges and limitations that must be carefully addressed. Below, we will explore some of the main drawbacks associated with this innovative technology.

 

Imperfect Fidelity:

While VLOGGER can generate videos with a high degree of realism, the fidelity of the result may vary depending on various factors, such as the quality of the input image and the accuracy of the 3D motion generation model. In some cases, the animated avatar may not accurately reflect the movements and expressions of the person in the original image, which can affect the credibility and effectiveness of the generated video.

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Limitations in Motion Capture:

VLOGGER may encounter difficulties capturing extensive movements or complex gestures, primarily when relying on a single static image as a reference. This can result in less smooth and natural animation, as the AI may need help interpreting and replicating subtle details of human behaviour. Additionally, VLOGGER’s ability to handle long-duration videos or complex environments may be limited, affecting its utility in specific contexts and applications.

Restricted Access and Potential Misuse:

Since VLOGGER is still in the research and development phase, its access is limited to a select group of researchers and developers. This may hinder its widespread adoption and restrict its availability to those who could benefit from its use. Additionally, there is a risk that this technology could be misused or abused, such as creating fake videos or identity theft, which could have severe consequences for the privacy and security of the individuals involved.

Ethical and Social Challenges:

Developing and implementing technologies like VLOGGER poses ethical and social challenges that must be proactively addressed. For example, the ability to generate realistic videos from static images may increase the risk of misinformation and content manipulation, undermining trust in the media and the integrity of information. Additionally, there is a risk that this technology could be used to perpetrate fraud or deception.

In conclusion, while VLOGGER offers a range of benefits and exciting opportunities in multimedia content generation, it also poses a series of challenges and risks that must be addressed carefully and responsibly. By understanding and mitigating these limitations, we can maximise the potential of this innovative technology and ensure that it is used ethically and responsibly for all benefit.

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Mezo leans on Aerodrome’s veAERO flywheel to grow MEZO and MUSD on Base

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Coin Center presses Senate to keep dev protections in BRCA bill

Mezo will stream 2.25% of MEZO supply to Aerodrome’s veAERO voters over 30 days, betting Base’s vote-escrow whales can bootstrap deep MEZO and MUSD liquidity for Bitcoin DeFi.

Summary

  • Mezo will route 2.25% of MEZO supply to Aerodrome’s veAERO voters over 30 days to seed MEZO and MUSD liquidity on Base.
  • The campaign follows Mezo’s “Bring Bitcoin Home” push, which migrated roughly $23 million in BTC assets and helped lift its TVL to about $76.3 million.
  • By plugging into Aerodrome’s vote-escrow flywheel, Mezo is betting Bitcoin can host the same deep, incentive-driven liquidity that has made Base one of DeFi’s fastest-growing hubs.

Mezo, a Bitcoin (BTC)-native lending layer, has struck a strategic deal with Aerodrome Finance, the largest decentralized exchange on Coinbase’s Base network, to make Aerodrome the primary DeFi liquidity hub for the MEZO token. Under the agreement, Mezo will allocate 2.25% of total MEZO supply to veAERO voters over a 30-day period, aiming to bootstrap deep, decentralized liquidity for both MEZO and MUSD, its Bitcoin-backed stablecoin. Aerodrome already anchors Base’s liquidity, having previously pushed its own total value locked (TVL) past $1 billion amid a surge in AERO emissions-driven yield.

Mezo taps Aerodrome’s veAERO to grow MEZO, MUSD

The move is explicitly designed to pull Base’s most sophisticated vote-escrow capital into Bitcoin’s emerging DeFi stack. Aerodrome’s veAERO voter base includes protocols, high-net-worth traders, and institutions such as Coinbase Ventures and Animoca Brands, which have used AERO’s ve(3,3) governance model to direct emissions and fees toward the most productive pools. “Aerodrome’s community wrote the playbook for sustainable DeFi yield through vote-escrow economics,” Mezo founder and CEO Matt Luongo said. “We partnered with them because we wanted that audience to see what happens when you apply those mechanics to Bitcoin. Their users understand the model better than anyone. Now we’re giving them a reason to expand their capital across.”

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By directing veAERO voters to MEZO and MUSD pairs, Mezo is effectively importing a proven liquidity engine from Base into Bitcoin DeFi. Mezo’s own “Aerodrome for Bitcoin lending” design channels borrower interest on MUSD loans, origination charges, and DEX swap fees into yield for BTC lockers, who currently earn around 4% APR through incentives and rewards. That sits against a broader DeFi backdrop where sector-wide TVL rebounded to roughly $129 billion in 2024, up 137% year-on-year as rising crypto prices and cheaper Layer-2 infrastructure pulled capital back on-chain.

The Aerodrome Finance tie-up comes on the heels of Mezo’s “Bring Bitcoin Home” campaign, which migrated about $23 million in tBTC, cbBTC, WBTC, and USDT from Ethereum pre-deposit vaults on Mellow Protocol into Mezo’s mainnet, with deposits routed via DeFi yield network Turtle Club. Mezo’s TVL now sits near $76.3 million, with roughly $500 million in lifetime MUSD volume, more than 2,000 loans issued at a fixed 1% APR, and over 43,500 mainnet users. That footprint is still small next to leaders like Aerodrome or top DeFi chains tracked by dashboards such as DeFiLlama, but it signals growing appetite for Bitcoin-first yield strategies as BTC itself becomes a larger share of total DeFi TVL.

Behind the yield mechanics, Mezo has focused heavily on infrastructure, security, and institutional access. Its validator set includes P2P, Chorus One, and Everstake, while smart contracts have been audited by Quantstamp and Thesis Defense. Anchorage Digital provides custody and compliance rails for larger allocators, a piece traditional institutions increasingly prioritize when deploying into DeFi. On the capital side, Mezo has raised $28.5 million in seed funding led by Pantera, with Multicoin, Paradigm, Polychain, Draper, Nascent, a16z, and ParaFi among backers, placing it alongside other BTC-centric projects that venture firms have backed to capture the next leg of on-chain credit markets.

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Bitcoin’s role in DeFi expanding

As Bitcoin’s role in DeFi expands, Mezo is positioning itself as the lending and liquidity layer that lets BTC holders borrow, earn, and deploy capital without leaving the Bitcoin economy. Its core products — MUSD, veBTC yield positions, and a native DEX — mirror the stack that has helped Base and Aerodrome dominate liquidity and trading in their own ecosystem. With Aerodrome’s veAERO voters now financially incentivized to seed MEZO and MUSD pools, Mezo is effectively testing whether the same vote-escrow incentives that drove Base’s growth can be replicated atop Bitcoin and its wrapped representations, potentially shifting a larger slice of DeFi’s $100 billion-plus collateral base toward BTC-backed credit.

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XDC price holds near $0.032 as enterprise RWA narrative deepens

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Virtuals Protocol brings AI agent commerce to Arbitrum in new integration

XDC price is consolidating just above $0.03 as tokenized debt deals, trade-finance pilots and an Ethereum-aligned upgrade deepen its role in enterprise RWA infrastructure.

Summary

  • XDC Network is trading around $0.032 per token, with a market cap near $640 million and 24-hour volume in the mid-teens of millions.
  • Price has inched higher by roughly 2–3% over the last day, but remains down on the week, reflecting a slow grind after a broader altcoin pullback.
  • Recent upgrades, tokenized debt deals and trade-finance pilots signal growing real-world asset usage even as speculative flows stay modest compared with higher-beta altcoins.

XDC Network (XDC), a hybrid Layer-1 focused on enterprise and trade-finance applications, is currently changing hands at about $0.032 per coin, according to both Binance and third-party price aggregators. Binance lists the live XDC price at $0.03206, with a market capitalization of roughly $639.15 million and 24-hour trading volume of $16.29 million, based on a circulating supply of 19.94 billion XDC. A parallel snapshot from 3Commas shows XDC at $0.03214, a 2.8% gain over the last 24 hours, on a $14.73 million trading volume and market cap of $640.9 million.

Historical data from Yahoo Finance place XDC’s recent trading range between $0.0304 and $0.0324 over the past several sessions, underscoring how the token has been consolidating just above $0.03 after earlier weakness in March. CoinMarketCap’s price-history table likewise records daily closes clustered in the $0.031–$0.034 band throughout early March 2026, with no single breakout day but a sequence of tight ranges. That pattern contrasts with the sharp spikes seen in high-volatility memecoins, and instead reflects more measured spot flows into and out of a large-cap infrastructure asset.

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Under the hood, XDC Network markets itself as an EVM-compatible, enterprise-grade blockchain for real-world asset tokenization, cross-border payments and trade-finance settlement, placing XDC in the RWA and L1 categories rather than pure DeFi or meme segments. CoinGecko reports a circulating supply of 16 billion XDC in another widely used dataset, with a fully diluted valuation of roughly $3.49 billion assuming a maximum supply of 38 billion tokens. That configuration gives XDC one of the larger RWA/L1 market caps, even if daily volume remains below the most aggressively traded smart-contract platforms.

February’s XDC Network update outlined several major developments that help explain why institutions are watching the chain even as price moves remain subdued. The network completed its v2.6.8 “Cancun” upgrade at block 98,800,200, aligning with Ethereum’s Cancun standard and introducing EIP-1559-style fee mechanics, improved EVM efficiency, and stronger consensus performance on mainnet. Separate to the protocol changes, XDC supported a $75 million tokenized debt issuance in Brazil, expanding its Latin American footprint and positioning the chain as a settlement layer for structured credit in emerging markets.

The combination of hybrid architecture, compliance-by-design tooling and EVM compatibility has led some industry observers to describe XDC as part of a blueprint for institutional-grade blockchain adoption in 2026. At the same time, market data from CoinGecko show 24-hour XDC trading volume around $46.1 million on certain days, a figure that has recently risen by over 11% in a single session, signalling that liquidity is gradually deepening as more venues list the token.

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Circle Leads Tazapay Extension as Total Series B Reaches $36M

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Circle Leads Tazapay Extension as Total Series B Reaches $36M

Cross-border payment infrastructure provider Tazapay said it closed an extension to its Series B funding round led by Circle Ventures, bringing the total raised to $36 million. The round included participation from Coinbase Ventures, CMT Digital, Peak XV Partners and Ripple. 

Tazapay said on Thursday that the funding will be used to • expand its digital settlement technology for cross-border payments, secure additional licenses, expand across Asia, Latin America, the Middle East and the Americas, and build infrastructure for so-called “agentic payments.”

Tazapay said it serves over 1,000 enterprises and fintechs across 30 countries. It holds licences across Singapore, Canada, Australia, and the United States, with active applications underway in the European Union, United Arab Emirates and Hong Kong.

“The demand we’re seeing from enterprises and fintechs across Asia, LATAM, and the Middle East is unmistakable; businesses want to move money faster, cheaper, and with full regulatory confidence,” said Kanupriya Sharda, chief business officer at Tazapay.

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Cointelegraph asked Tazapay whether it would disclose the size of the extension tranche and the company’s valuation, but had not received a response by publication.

Tazapay founding team. Left to right: Aayush Singhania (CPO), Kanupriya Sharda (CBO), and Rahul Shinghal (CEO). Source: Tazapay

Stablecoin payment infrastructure draws backers

The extension comes as crypto and fintech firms push deeper into stablecoin-based cross-border payments infrastructure.

On March 3, Ripple said it had expanded Ripple Payments into an end-to-end stablecoin and fiat platform for banks and fintechs. The company said the platform is live in more than 60 markets and has processed more than $100 billion in volume.

Related: Ripple joins Singapore sandbox to test RLUSD in trade finance

In May 2025, Boston-based cross-border payment company Conduit raised $36 million in a Series A funding round led by Dragonfly and Altos Ventures to scale its payment system and expand fiat and stablecoin currency offerings.

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Conduit positions its payment system as an alternative to the SWIFT messaging network, which banks have relied on to process wire transfers since the 1970s.

Magazine: Crypto wanted to overthrow banks, now it’s becoming them in stablecoin fight