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Having trouble with posing characters? Draw with 3D models! ✅ Accurate poses & easy to move angles ✅ Quick tracing by line extraction Check out 3D assets for webtoons on ACON3D

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3,188,284 görüntüleme • 3 yıl önce •via X (Twitter)

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🎄Only 300 FREE NFTs will be claimable via a draw with our collaboration with DEANO and The Auracles for our advent calendar! Complete quests ➡️ 🔥To enter: ✅Complete quests on Crew3 ✅Follow Futures Factory & The Auracles ✅Like & RT
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🎄Only 300 FREE NFTs will be claimable via a draw with our collaboration with DEANO and The Auracles for our advent calendar! Complete quests ➡️ 🔥To enter: ✅Complete quests on Crew3 ✅Follow Futures Factory & The Auracles ✅Like & RT

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We made full detail, life-sized statues of some of our hero characters for the marketing of #Transformers ROTB. To create these, we sent 16K turntable renders of the chosen characters in a studio environment to the manufacturer along with the 3D models so that they could replicate them as closely as possible. I worked on the Optimus Primal 3D delivery and can confidently say that those last few days of preparing the character for renders and send-off were some of the most stressful of the entire production. I remember working until 4am on the Friday delivery day to get the character sent down the pipe, ultimately having to skip the MPC Summer Party which was held on the same day. Shout out to everyone involved in the creation of these statues, they turned out amazing!

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Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

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🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇

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If you typically stream with a 3D model, I highly recommend that you pose your model when you’re not doing full body mocap instead of letting it stay in the stiff generic pose! It makes a huge difference in how your energy is conveyed (ᗒ⩊ᗕ)⸝ި ʕᦏ⌎ I’m only saying this because I noticed this a lot with my own 3D kids, but here’s a comparison showcase: ← default pose & default pendulum physics in Warudo → custom poses & slightly adjusted pendulum physics If you find it hard to pose within Warudo by using bone offsets or none of the existing poses in Warudo vibe with you, you can make your own like me! I made my custom poses in “VRM Posing Desktop” (this is the BEST vrm posing app I’ve ever used in the past 3 years) and exported them as Unity anims then dropped them into Warudo’s animation folder! You can then make a simple blueprint in Warudo to toggle between poses and make your model look more alive! It should fit especially well for just chatting streams 🙂‍↕️✨
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If you typically stream with a 3D model, I highly recommend that you pose your model when you’re not doing full body mocap instead of letting it stay in the stiff generic pose! It makes a huge difference in how your energy is conveyed (ᗒ⩊ᗕ)⸝ި ʕᦏ⌎ I’m only saying this because I noticed this a lot with my own 3D kids, but here’s a comparison showcase: ← default pose & default pendulum physics in Warudo → custom poses & slightly adjusted pendulum physics If you find it hard to pose within Warudo by using bone offsets or none of the existing poses in Warudo vibe with you, you can make your own like me! I made my custom poses in “VRM Posing Desktop” (this is the BEST vrm posing app I’ve ever used in the past 3 years) and exported them as Unity anims then dropped them into Warudo’s animation folder! You can then make a simple blueprint in Warudo to toggle between poses and make your model look more alive! It should fit especially well for just chatting streams 🙂‍↕️✨

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Jasmine and Sugarberry! 3D models based on the lovely artwork by Andrew D🌥️C ! This is a collaboration I did with Andrew. I've wanted to model one of his OCs for a while now, I hope you he like them! I modeled them with lots of love!💜💜💜💜 💜Artstation

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300 new school-based nurseries confirmed for September! With 4,000 places available by the end of September, families can: ✅Save up to £7,500 on childcare ✅Give children the best start in life ✅More support in areas that need it most Find out more ➡️

Department for Education

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🎉 Happy #PortfolioDay! I’m David, a 3D Animator with 2.5 years of experience on Overwatch and The Sims 4. My contract wraps up in March, and I’m excited to bring my passion for hand-keyed animation to a new team! Check out my work: Let’s connect! 🚀

David Echeagaray

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Prefer having the individual channels in OBS, but want the easy controls of using a broadcast stream mix? Parzival, FrostyCoolSlug and YorVeX are working on the "GoXLR Fader Sync" plugin for OBS to be used with GoXLR Utility. Check out the progress here:
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Prefer having the individual channels in OBS, but want the easy controls of using a broadcast stream mix? Parzival, FrostyCoolSlug and YorVeX are working on the "GoXLR Fader Sync" plugin for OBS to be used with GoXLR Utility. Check out the progress here:

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📍 $20 Trillion in Real-World Assets Is Ready for Tokenization Let me put you on to something big: Decrepit . It’s being called the “Uniswap for RWAs” (Real-World Assets), and for good reason. They’re bridging TradFi and DeFi with institutional-grade tech, opening access to tokenized assets like real estate, commodities, and even carbon credits. This isn’t just another project—it’s the future of RWA 🔑 Why You Should Be Watching IX Swap ✅ Compliance You Can Trust This isn’t just crypto hype. IX Swap is built for institutions and retail investors alike, with security and regulatory compliance at its core. ✅ Scalable Liquidity Their AMM tech is transforming illiquid assets into 24/7 accessible investments. Tokenized real estate, art, carbon credits—you name it. ✅ Diversified Asset Access With IX Swap, you’re not limited to just crypto-native assets. Imagine owning a fraction of a property or even carbon credits. 💡 And here’s what really stands out: They’re backed by big names like Coinbase, LINE, and UOB Bank Ventures. IX Swap is already ahead in the $20 trillion RWA market, and they’re just getting started. 📈 Oh, and it’s live on MEXC. If you’re not paying attention to $IXS, you’re missing out. 🔗 Check out the MEXC listing here 🌐 Learn more about the platform here: This is your chance to get in early on something real. Tokenized assets are the next frontier. Are you ready?

Evan

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🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can help robots learn faster, better, and more efficiently. The key takeaways: ✅ We built an evaluation pipeline to benchmark LBM performance with real 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 ✅ Pre-training on hundreds of tasks makes models more robust—plus, we can teach new, complex tasks with 80% 𝐥𝐞𝐬𝐬 𝐝𝐚𝐭𝐚 ✅ The bigger and more diverse the pre-training, the better the results Check out our overview video, webpage and paper for more details: ✨ 🌎 📄 We hope this work helps move the field of robotics forward!
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🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can help robots learn faster, better, and more efficiently. The key takeaways: ✅ We built an evaluation pipeline to benchmark LBM performance with real 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 ✅ Pre-training on hundreds of tasks makes models more robust—plus, we can teach new, complex tasks with 80% 𝐥𝐞𝐬𝐬 𝐝𝐚𝐭𝐚 ✅ The bigger and more diverse the pre-training, the better the results Check out our overview video, webpage and paper for more details: ✨ 🌎 📄 We hope this work helps move the field of robotics forward!

Zubair Irshad

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