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Explore a metal shading technique from 2008's Iron Man and learn practical methods for creating more realistic metallic surfaces in Lucas Piazzini's Forgotten Metal Knowledge video. Watch: Video by Reynante Martinez

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24,727 views • 8 days ago •via X (Twitter)

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the jeweler who has worked with tian more than once (for his necklace + metal magazine) posted a new video using the revenged love song ("blooming freely" sung by ziyu), and it features a sweetcorn pendant! 🌽💙 WE JUST KEEP WINNING 😭🩵

the jeweler who has worked with tian more than once (for his necklace + metal magazine) posted a new video using the revenged love song ("blooming freely" sung by ziyu), and it features a sweetcorn pendant! 🌽💙 WE JUST KEEP WINNING 😭🩵

mag ⋆. 𐙚 ˚

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BREAKING NEWS 🔺Iron Maiden POWER WENT OUT in Paris, France during 2 minutes to Midnight 'POWER was out 55 minutes . Band needed to reset equipment. Maiden was also filming the show as well. Power finally went back on and band went into playing Mariner Video and report by Ashi Minhas for The Metal Voice

BREAKING NEWS 🔺Iron Maiden POWER WENT OUT in Paris, France during 2 minutes to Midnight 'POWER was out 55 minutes . Band needed to reset equipment. Maiden was also filming the show as well. Power finally went back on and band went into playing Mariner Video and report by Ashi Minhas for The Metal Voice

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🎤 Launching Talking Video on Affogato Create realistic, lipsynced talking characters from a single image — no studio, no actor, just AI. Use it for ads, explainers, UGC, and more. 👇 Watch some real examples

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Affogato AI

19,328 views • 1 year ago

Two cinematic prompts for Seedance 2.0 right here 👇 [STYLE + CAMERA + ATMOSPHERE] Ultra-photorealistic cinematic 15-second action sequence from a grounded action thriller film. Nighttime at an abandoned industrial train yard. Old trains, rusted tracks, broken platforms and warehouses. Strong moonlight and industrial lighting. The visual language is gritty and realistic with hyper-realistic practical destruction. Camera is handheld-dynamic with urgent moves. [IMAGE REFERENCES] No reference images provided. Generate a fully consistent lead character: a male fugitive in his mid-30s, short hair, intense expression. He wears a dark jacket, jeans and boots. Maintain exact same appearance and clothing throughout the clip. [TIMELINE SECOND BY SECOND] 0-3s: [Dynamic handheld tracking shot from side-rear] The man runs across the train yard as a freight train derails violently after hitting a collapsed section of track. Massive train cars tip over and crash into the ground, sending metal, wood and cargo flying. The camera tracks him urgently as the destruction spreads. 3-7s: [Slow continuous orbiting camera moving around the frozen destruction] At the peak of the derailment, everything freezes in perfect realistic physics. Huge train cars, twisted metal, wooden debris and clouds of dust hang motionless in the air with accurate weight and trajectories. The camera performs a smooth, continuous orbit through the frozen chaos, moving between large suspended train cars and passing close to sharp metal fragments while the man remains visible. 7-15s: [Dynamic tracking shot as time resumes] At the 7-second mark time snaps back to forward motion with a slight realistic temporal residue. Some outer debris shows a very subtle reverse lag before continuing. The man has used the frozen moment to dive behind a concrete barrier. When motion resumes, several large pieces of metal miss him. He stays low and runs toward an open warehouse as debris finally crashes down. The camera tracks with him through the dust. [STYLE & QUALITY BOOSTERS] Photorealistic 8K, hyper-realistic rigid body destruction with correct material properties (metal, wood, train parts), perfect frozen mid-air physics, seamless transition from freeze to resume, natural dust interaction, heavy cinematic motion blur on fast debris, stable character performance, movie-level practical destruction VFX quality.

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TechHalla

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A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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567,473 views • 8 months ago

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“₦10 million for anyone who can provide more footage from the music video set where Mohbad and Zlatan were by the wheelchair and Sam Larry walked in with a group of boys. I need more scenes from that moment. Also, ₦2 million for any of the women seen in the video holding the wheelchair.” — VeryDarkMan

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UNUSUAL Everyone needs it for education, performances, dazzling displays, and much more. A Shenzhen-based company has launched "flying screens" in the sky, creating vibrant images that evoke a unique science fiction atmosphere. In China, innovation never ceases to amaze us. Video by 御光·新材料·智造

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China pulse 🇨🇳

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MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers paper page: Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly rely on diffusion models to accomplish these tasks. However, the computational demands of diffusion-based methods are substantial, often necessitating large-scale paired datasets for training, and therefore challenging the deployment in practical applications. This study addresses this challenge by breaking down the text-based video editing process into two separate stages. In the first stage, we leverage an existing text-to-image diffusion model to simultaneously edit a few keyframes without additional fine-tuning. In the second stage, we introduce an efficient model called MaskINT, which is built on non-autoregressive masked generative transformers and specializes in frame interpolation between the keyframes, benefiting from structural guidance provided by intermediate frames. Our comprehensive set of experiments illustrates the efficacy and efficiency of MaskINT when compared to other diffusion-based methodologies. This research offers a practical solution for text-based video editing and showcases the potential of non-autoregressive masked generative transformers in this domain.

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