Another challenging hard surface scan completed! Photogrammetry often struggles... with pixel-perfect alignment on these kinds of objects, but we’ve developed methods to make it work. Still, always room for improvement! #photogrammetry #b3d #3dscanningshow more

McGavish
49,940 views • 1 year ago
We can 3D scan even the hardest objects -... dark, low-contrast, and nearly featureless surfaces are no longer a challenge - all with full PBR material stack. Need this level of precision for your production? Let me know! #photogrammetry #photometryshow more

McGavish
45,178 views • 1 year ago
New scan sample, old wooden container scanned using our... advanced robotic scanner developed at INVOLV3D and inciprocal software for PBR material processing. You can literally smell this wood! #3dscanning #pbr #b3dshow more

McGavish
12,902 views • 2 years ago
#AniMatePro is shapping up to the early access release.... It will likely be broken down in 2 addons. One with the productivity improvements for interacting with the timeline and another one with all the tools to manipulate and interact with the keyframes. Still looking for some animators that are work with Blender or would want to work with Blender but are missing some tools from Maya or Animbot to make the switch. Join discord and request access: #b3dshow more

ᴺᴼᵀ ᵀᴴᴬᵀ NDA
15,920 views • 1 year ago
Model turntable of Tsunami design by Lē Yamamura for... the Wings of fire Japanese release. These designs are a lot of fun to work with, still a bit rough in some places but I'm happy enough with how it turned out. Who should I make next?show more

Micowzow
27,249 views • 1 year ago
Tested Claude + Blender today with two real workflows.... Sharing what actually happened. First one was a simple demo. Gave it one sentence to build a cyberpunk room. Geometry, lighting, camera, render. It got there, though not everything in the prompt landed perfectly. Good enough to show the concept, not a stress test. Second one was more interesting. Threw a raw photogrammetry scan at it. Massey Ferguson tractor, 250k faces, grass background everywhere, debris floating all over the place. Asked Claude to clean it up autonomously. It did the work. Removed 106 floating chunks, cut face count by 87%, stripped the grass, flipped the model upright, set up studio lighting and rendered. Technically it worked. But honest answer: the result wasn't clean enough for production. This kind of cleanup still needs the right tools and someone who knows what they're doing. So here's where it actually fits. Not the precise technical stuff. The setup work. The repetitive stuff. The things that take forever if you don't already know Blender. It won't replace your 3D artist. It replaces the boring part before they start.show more

KIRI Engine - 3D Scanner App
61,212 views • 4 months ago
These people appear to be capable of working, but... yet they are seen on a line for SNAP benefits. How many of them are employed? If they are employed but still can't make ends meet in the city, shouldn't they be looking for work somewhere else? If employers were leaving eligible employees with no choice but to move away, they would eventually be forced to raise wages. So what is the problem?show more

Crime In NYC
13,351 views • 11 days ago
I've been testing out Windows 11's new Haptic Signals... feature on compatible hardware, and I think I love it. I'm someone who yearns for small UX details like this, and I'm so happy to see Microsoft leaning into subtle but quality UX implementations like haptics across the Windows Shell. These new Haptic Signals provide a subtle bump when interacting with certain UI elements and actions, such as snapping app windows or dragging files in File Explorer. The feedback response feels great and intentional, and makes using the OS feel more satisfying. There's still room for improvement, but I'd be lying if I said I wasn't impressed with this first implementation. It's only supported on a handful of devices for now, but that should change over time. I've always loved the haptic feedback layered throughout Google Pixel phones, and now Windows is getting its own version of it. More UX niceties like this, please!show more

Zac Bowden
42,890 views • 4 months ago
Boomer dads really built their entire personality around “I... worked hard and figured it out.” Cool. You also: Bought a house on one income at 26. Paid $400 a semester for college. Got a job with benefits straight out of high school. Had a pension waiting at the end. Paid $90 a month for health insurance. Filled up a tank for $18. Raised a family on one salary and still took a vacation every summer. You didn’t just work hard. You worked hard in an economy that was designed to reward hard work. We work hard in an economy designed to extract it. Same effort. Completely different machine. But sure dad. Tell me again about your bootstraps.show more

Fermsy 🎒
14,654 views • 3 months ago
Smart Remesh 2.1.7, on the way.... ** Cloth Remeshing... ** coming soon.... Cloth Remesh · Progress 01: As I continue posting about cloth remeshing, I want to share some of the challenges I faced during development, as well as how I approached and solved them. This is Part 1. Remeshing clothing is more challenging than remeshing most other types of 3D models. Because clothing contains folds, wrinkles, and complex surface forms, it is very important to preserve as much detail as possible throughout the remeshing process. Standard methods that work well for organic models don't always give good results here, because they often require a much higher polygon count to preserve those details properly. To address this, I decided to use the garment's existing UV layout as part of the remeshing process. Each UV island is remeshed independently, and once the process is complete, all of the parts are combined back into a single mesh. This approach helps achieve better detail preservation with a lower polygon count, while also making the remeshing process faster and producing a more acceptable final result. #blender #b3dshow more

milad_kambari
18,060 views • 12 days ago
Life update: It’s been kinda hard the past two... weeks. I’ve been trying to live normally but honestly it’s still hard. Been in and out of hospitals, figuring out surgery (keeps getting delayed), trying to work (hard to focus and sleep), travel for conferences, run Touchdown (was supposed to start fundraising two weeks ago). I’m very lucky to be alive, I was worried I was gonna go blind in my left eye. I was a passenger and FSD was on, so it’s honestly just made me really curious. How does perception actually work? How does the car identify and classify objects? Is all the inference done on the vehicle? Imma always support Elon Musk and I’ll always have tremendous respect for everyone at Tesla and Tesla_AI pushing the boundaries of engineering to help humanity. Engineering is extremely hard and no matter how hard you try you can’t get all edge cases. But I genuinely want to understand the engineering challenges behind FSD and autonomous driving. Is there anyone at Tesla_AI or Tesla I can talk to go thru this? I want to see how I can help make autonomous driving safer.show more

William Chen
2,459,915 views • 1 month ago
You can't 3D reconstruct glass from images... ...WRONG! Thanks... for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AIshow more

Jonathan Stephens
17,712 views • 8 months ago
✅ Big version jump. Whats new?! XRP Ledger is... now in version 3.0! with some major introductions. New are the so called 'unsupported' amendments👀: - Lending and Borrowing on XRP, essentially Loans on chain. - DynamicMPTs, similar to Dynamic NFTs. these amendments are introduced, but not completed in development and not available to be voted on yet. in XRP 3.0 there are also a list of normal fix amendments, among them: fix for the TokenEscrow amendment. fix for PriceOracles. fix for MPTs. fix for clawback tokens in AMMs. the changes list is long and i want to thank everyone who contributed to this release. Hard work and effort went in to make the XRP Ledger a robust, reliable and innovative rail for on chain finance ❤️show more

Vet
35,810 views • 9 months ago
Video diffusion models have strong implicit representations of 3D... shape, material, and lighting, but controlling them with language is cumbersome, and control is critical for artists and animators. GenLit connects these implicit representations with a continuous 5D control signal describing the direction and intensity of a point light source. This enables single-image near-field relighting of an image using a video diffusion model. We use a ControlNet-like approach and show that, with a small amount of synthetic data, GenLit generalizes to complex real-world images. Given a single image and the 5D lighting signal, GenLit creates a video of a moving light source that is inside the scene. It moves around and behind scene objects, producing effects such as shading, cast shadows, secularities, and interreflections with a realism that is hard to obtain with traditional inverse rendering methods. GenLit shows that it is possible to get continuous control over implicit physical processes within a video model. I think this is just the beginning and promises to make such models much more practical for creators. Shrisha Bharadwaj will present today at SIGGRAPH Asia Room: S423/S424, Level 4 @ 13:50 on 15 of Dec.show more

Michael Black
22,182 views • 9 months ago
Jimmy Kimmel admits it’s “hard not to agree” with... Spencer Pratt on LA’s problems… but still says don’t vote for him. In his Wednesday night monologue on Jimmy Kimmel Live!, Kimmel acknowledged “this city is a mess” and that Pratt is tapping into real frustrations over crime, homelessness, and failed leadership. Yet he slammed the Hills star as a “narcissist looking for attention” with zero experience to actually fix it. Kimmel compared it to Trump’s rise — agreeing on the problems but rejecting the messenger. Does this make sense? Can you agree with someone’s diagnosis of the issues but completely reject them as the solution? (Video: AI)show more

Paul A. Szypula 🇺🇸
25,656 views • 3 months ago
Tomorrow is a big day for me. I’m going... to do an activity in my daughter’s class (she’s 5), and I’ll be teaching them what AI is. She’s excited about it, but honestly, I think I’m even more excited. I’ll tell them a little bit of history, we’ll play some games… I’ll try to make it as fun as possible, but always with a focus on ethical and responsible use. Of course, it won’t be a tutorial on how to use any tools, lol. They’re still very young, and in my opinion, it’ll be years before they actually need to start using these tools. But I think it’s important for them to start getting some awareness so they can be prepared for the future that’s coming their way.show more

TechHalla
18,651 views • 1 year ago