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📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now... 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!show more

Matthias Niessner

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12,164 просмотров • 1 год назад •via X (Twitter)

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$📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain$

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain

Matthias Niessner

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📢GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans📢 We present a novel method to reconstruct hair strands from colorless 3D scans by extracting orientation cues directly from the mesh surface geometry by finding local characteristic lines and from shaded renderings using a neural 2D line detector. We enhance the reconstruction with a diffusion prior trained on synthetic hair data and adapted to each scan using a tailored text prompt, allowing us to recover both simple and complex hairstyles without relying on color input. To support further research, we also introduce Strands400, the largest publicly available dataset of 3D hair strand reconstructions from real-world scans of 400 different people, featuring complicated hairstyles, such as ponytails and buns. 🌍 📷 Great work by Rachmadio Noval L. Artem Sevastopolsky Egor Zakharov @ness_pris

📢GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans📢 We present a novel method to reconstruct hair strands from colorless 3D scans by extracting orientation cues directly from the mesh surface geometry by finding local characteristic lines and from shaded renderings using a neural 2D line detector. We enhance the reconstruction with a diffusion prior trained on synthetic hair data and adapted to each scan using a tailored text prompt, allowing us to recover both simple and complex hairstyles without relying on color input. To support further research, we also introduce Strands400, the largest publicly available dataset of 3D hair strand reconstructions from real-world scans of 400 different people, featuring complicated hairstyles, such as ponytails and buns. 🌍 📷 Great work by Rachmadio Noval L. Artem Sevastopolsky Egor Zakharov @ness_pris

Matthias Niessner

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The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

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Cyril Zakka, MD

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The next stage of AI image gen is going to be all about control. Human creativity is a beautiful thing, and the images we all have in our heads is much better expressed through motion, brush-strokes, song, tone of voice than through a simple text prompt. "Make a tree with a branch that starts at the lower part of the tree; make it bend a bit upwards.." "No, not like that, a bit more to the right." "No, that's not it either, point it more upwards.".. Check out a few examples in the🧵 #ai #art

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Today we’re releasing SAIR, the Structurally Augmented IC50 Repository. SAIR is the Largest Open-Sourced Binding Affinity Dataset with Cofolded 3D Structures. It includes more than 5 million protein-ligand structures, generated using our Large Quantitative Models and labeled with binding affinity data. By providing this unprecedented scale of structure-activity data, we aim to enable researchers to train and evaluate new AI models for drug discovery, bridging the historical gap between molecular structures and drug potency prediction. The SAIR dataset was created using the NVIDIA DGX Cloud and is now publicly available on the Google Cloud Platform. Access and build with SAIR today! 📰Read the Press Release: 📥Learn More and Download the Dataset at #DrugDiscovery #LQMs #SAIR #AIforScience #SandboxAQ

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SandboxAQ

129,416 просмотров • 1 год назад

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Disclaimer: I wasn't a fan of the van truck theory at all, thought it was crazy talk. WILLIAM CUMBY sent me a video that took me down a rabbit hole. After finding more and more evidence leading me to the van trunk I became a believer. A short recap of the evidence I found: - 4940Hz frequency with left channel dominance in the Cub Keller video closest to the van. - frequency from the cavitation collapse of the ballistic gel also with identical channel dominance as the 4940hz - multiple YouTube recordings of a .30 caliber round causing the same frequency when impacting ballistic gel - triangulation of the frequency to the area of the van using 6 cameras audio recordings - video recordings of the van door being opened by a individual seconds before the rifle shot (this individual reacts to the shot before anyone else I have been able to find in videos from that day) - the bullet's Mach cone passes infront of Cub's camera and it records a Mach cone peak much higher than the cameras right infront of Charlie (bullet passed closer to Cub's camera than the people infront of Charlie recording). With all of this data it's very difficult to dismiss the van as the likely impact point of the rifle round that was discharged that day.

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Matthias Niessner

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You may not know this about me. During COVID I attempted for 3 years to build a bridge from the farm gate to the local town. We were the center of the plate of many local restaurants, as well as portioned controlled meats for major food distributors. We went from 6 to 46 employees 20k a month to 800k/month. But it didn't just take my 46... it took a constellation of other people filling in the gaps. Tearing it down was just as much work as building it. I am proud of where I stand now with everyone involved. I grew more with that storm. For a while I was embarrassed that I couldn't make this thing run forward. One day I decided to look at it from a different angle. I decoupled experience from failure. Today I want to facilitate whatever it takes to pick up the pieces of what I learned to help whoever it is that wants to be part of the change in direction. I don't want to own the damn thing. I want to find the missing pieces of the puzzle so we can build back better.

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Jason Mauck

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To replace animal testing with AI, we need MASSIVE human datasets. Today, we're thrilled to share Axiom's new data exploration tool, providing the ability to visually explore the world's largest primary human liver toxicity dataset. Built with Axiom's proprietary wetlab protocols, our dataset includes detailed liver toxicity profiles for over 100,000 distinct molecules. The key to this dataset is our ability to do high-throughput, multiplexed high-content screening with primary human liver cells. Traditionally, toxicity assays either sacrifice throughput or sacrifice biological relevance (using easy-to-grow immortalized cell lines instead of real human cells). We managed to combine throughput, physiological relevance, and multiplexing in one platform. The assays run in a high throughput format using automation, meaning thousands of compound-dose conditions can be tested in one experiment. We achieved this using pooled primary human hepatocytes, which are often fragile and expensive. By systemizing our automation and quality control processes, we were able to run over 120+ batches on the same donor pool with incredible reproducibility and consistency. We did this while integrating many readouts per well, whereas many existing toxicity assays only do a single readout. Our multiplexed approach provides far more data per experiment enabling us to measure 10-20 different toxicity phenotypes such as apoptosis, necrosis, mitochondrial fission, endoplasmic reticulum stress, stress granule formation, microtubules, and more all from a single well on a 384-well plate! The combination of scale, high content information, and data quality is exactly what is needed to train highly accurate AI models in biology. If you're interested, please explore the dataset in the comments below and let me know if you want to chat about the details!

Brandon White

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Meta open-sourced a brain-to-text system that reaches 78% word accuracy without surgery. Brain2Qwerty v2 converts non-invasive brain recordings into text with 61% average word accuracy and 78% for its strongest participant. The system reads MEG signals from a helmet, not electrodes placed inside brain tissue. 9 volunteers typed about 22,000 sentences while researchers recorded 10 hours of neural activity each. Brain2Qwerty v1 mostly mapped brain signals to single typed characters. It tries to recover characters, words, and full sentence meaning together. The system studies those brain signals and tries to turn them into the words you wanted to type. - 61% average word accuracy across all participants - 78% word accuracy for the top participant - 50%+ of sentences decoded with no more than 1 word error Performance improves as the data pile grows Raw brain signals are messy because many mental and physical processes fire at once. Deep learning handles that mess by learning patterns directly from the original recordings. A fine-tuned LLM then uses language context to repair likely word and sentence errors. This explains why the system beats earlier non-invasive methods reporting 8% word accuracy. More than half of sentences from the strongest participant had one word error or less. Accuracy also improved as training data grew, suggesting more recordings may close more of the gap.

Rohan Paul

17,127 просмотров • 2 месяцев назад

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Stefan 3D AI

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Austin Bauwens

18,534 просмотров • 1 месяц назад

We are well aware that the Avenged Sevenfold family consists of many incredible musicians. That’s why we wanted to lift the veil a bit and give you all some cool tools to play with. Music stems and remixes aren’t necessarily a part of the rock and metal culture, but we felt it would be fun to see what some of you can do. We have provided all the high quality stems to “Cosmic” and we wanna hear what you can do with it. If you enjoy hearing these and creating with them, we will think about doing it with more songs. The grand prize winner will have their remix played live at our next concert in front of thousands of fans. How to Enter: • Download the audio files here: • Join our discord: • Post a link to your remix from SoundCloud in the #CosmicRemix channel before August 20th. • We will pick our top 3 remixes. Contest starts today. Rule info and prize details:

We are well aware that the Avenged Sevenfold family consists of many incredible musicians. That’s why we wanted to lift the veil a bit and give you all some cool tools to play with. Music stems and remixes aren’t necessarily a part of the rock and metal culture, but we felt it would be fun to see what some of you can do. We have provided all the high quality stems to “Cosmic” and we wanna hear what you can do with it. If you enjoy hearing these and creating with them, we will think about doing it with more songs. The grand prize winner will have their remix played live at our next concert in front of thousands of fans. How to Enter: • Download the audio files here: • Join our discord: • Post a link to your remix from SoundCloud in the #CosmicRemix channel before August 20th. • We will pick our top 3 remixes. Contest starts today. Rule info and prize details:

Avenged Sevenfold

93,487 просмотров • 2 лет назад

$We are building WELL3 to be the biggest Wellness platform in the world With now over 870K users, WELL3 is positioning itself to become one of the leaders in wellness But that’s not all. Our steadily growing community has shown that they are also among the top crypto traders 🧵👇 Besides the interest of bettering our well-being, our community also consists of top traders in the cryptocurrency field, NFT field, and DeFi field. Let’s look at some stats: The total transaction volume of our community is over $1,020,000,000 (one billion and twenty million dollars) That shows active participation in the markets and the influence they bring to the cryptocurrency space Our community also stands at the forefront of the NFT market, holding some of the most significant collections From enthusiastic participation in NFT dApps, our users are pioneers in digital asset ownership and exploration In the next stat, you can again see the active involvement our community has in cryptocurrencies Their holdings from just the Public Sale participants, which is just a fraction of our total community, exceeded $25 million in some of the top tokens in the last 30 days The top CEXs they've been using in the past 30 days for that are platforms like Binance, OKX, and ByBit, which are leading the pack --- These metrics we presented to you today all show that our community is among the most impactful people in Web3, be it in terms of transaction volume or just the number of people that are a part of WELL3 And the last stat of today: In just a short span since our last update, we've welcomed over 43,000 new users to the WELL3 platform We are grateful to welcome some of the absolute greatest from WEB3 to WELL3. Together, we're shaping the future of wellness$

We are building WELL3 to be the biggest Wellness platform in the world With now over 870K users, WELL3 is positioning itself to become one of the leaders in wellness But that’s not all. Our steadily growing community has shown that they are also among the top crypto traders 🧵👇 Besides the interest of bettering our well-being, our community also consists of top traders in the cryptocurrency field, NFT field, and DeFi field. Let’s look at some stats: The total transaction volume of our community is over $1,020,000,000 (one billion and twenty million dollars) That shows active participation in the markets and the influence they bring to the cryptocurrency space Our community also stands at the forefront of the NFT market, holding some of the most significant collections From enthusiastic participation in NFT dApps, our users are pioneers in digital asset ownership and exploration In the next stat, you can again see the active involvement our community has in cryptocurrencies Their holdings from just the Public Sale participants, which is just a fraction of our total community, exceeded $25 million in some of the top tokens in the last 30 days The top CEXs they've been using in the past 30 days for that are platforms like Binance, OKX, and ByBit, which are leading the pack --- These metrics we presented to you today all show that our community is among the most impactful people in Web3, be it in terms of transaction volume or just the number of people that are a part of WELL3 And the last stat of today: In just a short span since our last update, we've welcomed over 43,000 new users to the WELL3 platform We are grateful to welcome some of the absolute greatest from WEB3 to WELL3. Together, we're shaping the future of wellness

WELL3

47,653 просмотров • 2 лет назад

🌠Today, we’re excited to relaunch Airtable as the AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇

🌠Today, we’re excited to relaunch Airtable as the AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇

Howie Liu

17,156,437 просмотров • 1 год назад