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🔬 Built with an entirely new model architecture, our diffusion-based approach uses 6B+ parameters and leverages the latest NVIDIA hardware. This is the most dynamic and wide-ranging video enhancing method we’ve ever created, setting a new standard for AI video restoration. Videos degrade due to compression artifacts, blurring, aliasing,... show more

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Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."

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Mike Futia

15,208 Aufrufe • vor 4 Monaten

🎬 $PALM Presents: the long-awaited Creator Studio. A token holdings based usage system to use the latest generative AI for animations and graphics. Forget about downloadable tools or paying high subscription fees for no usage for mediocre results. Creator Studio allows you to access the tools our developers use for high-quality animated video making with the latest Generative AI tools. Creator Studio is part of the Parrot Framework that assigns tasks to AI agents when possible. You can navigate in a seamless Web UI, making the quality, three-dimensional, non-trippy AI videos and sequences you've ever wanted. We support up to 100 images per user stored in the cloud for you to make video sequences of up to 5 minutes with. Most importantly, we don't charge you a fee - your usage depends on your amount of $PALM tokens! The usage is reset monthly, so if you suddenly run out and need more points to complete your creation, you know what to do - buy some $PALM. This and more is being deployed live at where you can see a preview.

🎬 $PALM Presents: the long-awaited Creator Studio. A token holdings based usage system to use the latest generative AI for animations and graphics. Forget about downloadable tools or paying high subscription fees for no usage for mediocre results. Creator Studio allows you to access the tools our developers use for high-quality animated video making with the latest Generative AI tools. Creator Studio is part of the Parrot Framework that assigns tasks to AI agents when possible. You can navigate in a seamless Web UI, making the quality, three-dimensional, non-trippy AI videos and sequences you've ever wanted. We support up to 100 images per user stored in the cloud for you to make video sequences of up to 5 minutes with. Most importantly, we don't charge you a fee - your usage depends on your amount of $PALM tokens! The usage is reset monthly, so if you suddenly run out and need more points to complete your creation, you know what to do - buy some $PALM. This and more is being deployed live at where you can see a preview.

PaLM AI - $PALM

14,142 Aufrufe • vor 1 Jahr

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,547 Aufrufe • vor 10 Monaten

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Kondux

96,043 Aufrufe • vor 1 Jahr

✨ Every week a new AI model comes out and it suddenly makes my half broken features work a lot better Yesterday Seedream-4-Edit came out and it made my [ Hold product ] feature on Photo AI a lot better You can now go from: 🎁 Product photo -> 👱‍♀️ Talking video with your AI model while holding your product. In just a few minutes! Here's a photo I took from the weekly farm box we get in our kitchen, I set it as the product and then with Photo AI made it into a talking video where my trained AI model presents it It's not perfect, as the objects inside the farm box still move around a bit, but pretty close. If the product is more uniform (like lip gloss, a product box or a book) it does a pretty good job at keeping it exactly the same This "consistency" as they call it is quite important for actual real world use. Product sellers don't want to have an image or video of an AI model if the product doesn't look exactly the same as what they sell With that, I'm getting pretty close now and every week with every new model that comes out, a bit closer And it's interesting cause now I'm finally moving from B2C a bit more to B2B where businesses can use Photo AI more, designers and stores already use it for trying on clothes etc. but now they can generate content for real products! 😊 LIVE now on Photo AI

✨ Every week a new AI model comes out and it suddenly makes my half broken features work a lot better Yesterday Seedream-4-Edit came out and it made my [ Hold product ] feature on Photo AI a lot better You can now go from: 🎁 Product photo -> 👱‍♀️ Talking video with your AI model while holding your product. In just a few minutes! Here's a photo I took from the weekly farm box we get in our kitchen, I set it as the product and then with Photo AI made it into a talking video where my trained AI model presents it It's not perfect, as the objects inside the farm box still move around a bit, but pretty close. If the product is more uniform (like lip gloss, a product box or a book) it does a pretty good job at keeping it exactly the same This "consistency" as they call it is quite important for actual real world use. Product sellers don't want to have an image or video of an AI model if the product doesn't look exactly the same as what they sell With that, I'm getting pretty close now and every week with every new model that comes out, a bit closer And it's interesting cause now I'm finally moving from B2C a bit more to B2B where businesses can use Photo AI more, designers and stores already use it for trying on clothes etc. but now they can generate content for real products! 😊 LIVE now on Photo AI

@levelsio

361,558 Aufrufe • vor 10 Monaten

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.

Gipp 🦅

590,100 Aufrufe • vor 1 Monat