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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 görüntüleme • 8 gün önce •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 😭🩵
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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 😭🩵

mag ⋆. 𐙚 ˚

26,148 görüntüleme • 6 ay önce

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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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

The Metal Voice

97,563 görüntüleme • 1 ay önce

🎤 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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🎤 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

Affogato AI

19,328 görüntüleme • 1 yıl önce

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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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.

TechHalla

16,032 görüntüleme • 27 gün önce

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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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 →

Lukas Ziegler

567,473 görüntüleme • 8 ay önce

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.
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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.

MrNeRF

17,052 görüntüleme • 1 yıl önce

Bauhaus table lamp with hemisphere SF 28 by Tecnolumen in chrome-plated and black lacquered metal, polished aluminium and opal glass. The #design of this table #lamp comes from the circle of architects working parallel to the #Bauhaus in Swedish functionalism. At the same time the company Gispen in Holland produced a similar lamp, which also had a hemisphere loosely placed on the glass as a reflector. Learn more:
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Bauhaus table lamp with hemisphere SF 28 by Tecnolumen in chrome-plated and black lacquered metal, polished aluminium and opal glass. The #design of this table #lamp comes from the circle of architects working parallel to the #Bauhaus in Swedish functionalism. At the same time the company Gispen in Holland produced a similar lamp, which also had a hemisphere loosely placed on the glass as a reflector. Learn more:

Bauhaus Movement

76,117 görüntüleme • 2 yıl önce

The occupation closed off a key road in the West Bank with an iron gate, choking off traffic in every direction and creating chaos, as you can see in the video. One masked man showed up with an electric cutter, sliced through the locks, chains, and gate, and threw it open, restoring movement for Palestinian vehicles.
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The occupation closed off a key road in the West Bank with an iron gate, choking off traffic in every direction and creating chaos, as you can see in the video. One masked man showed up with an electric cutter, sliced through the locks, chains, and gate, and threw it open, restoring movement for Palestinian vehicles.

Thomas Keith

15,015 görüntüleme • 9 ay önce

In iOS 17, you can download maps for offline use so you can get directions, view business info, and more, even without a cellular or Wi-Fi connection. Watch our video on YouTube to learn how:
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In iOS 17, you can download maps for offline use so you can get directions, view business info, and more, even without a cellular or Wi-Fi connection. Watch our video on YouTube to learn how:

Apple Support

102,249 görüntüleme • 2 yıl önce

“₦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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“₦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

Dami’ Adenuga

13,827 görüntüleme • 1 yıl önce

The amount of love we’ve received for our new music video for “Who Will You Follow”, directed by Jensen Noen, has been unbelievable. THANK YOU! To learn a little bit more about the song and how the video came together, head to our YouTube channel to watch the full making of, out now.
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The amount of love we’ve received for our new music video for “Who Will You Follow”, directed by Jensen Noen, has been unbelievable. THANK YOU! To learn a little bit more about the song and how the video came together, head to our YouTube channel to watch the full making of, out now.

Evanescence

39,888 görüntüleme • 2 ay önce

This sweet video illustrates several important lessons for parents and caregivers when it comes to reading with infants and toddlers. What can we learn from it? Take a moment to watch (sound on) and then let’s unpack it a bit in the thread below. 🧵
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This sweet video illustrates several important lessons for parents and caregivers when it comes to reading with infants and toddlers. What can we learn from it? Take a moment to watch (sound on) and then let’s unpack it a bit in the thread below. 🧵

Dan Wuori

385,263 görüntüleme • 3 yıl önce

Venus is a very dangerous planet—going there is like playing a video game on “Hell Mode.” In the 1960s and 1970s, the Soviet Union sent robotic probes called Venera to explore it. The probes survived on the surface for less than an hour because the pressure was 90 times stronger than Earth and the temperature was hot enough to melt metal. But even in their final moments, while they were overheating and breaking apart, they still managed to take the only real photos ever captured from Venus’s surface. Photos from a place no human could ever survive.
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Venus is a very dangerous planet—going there is like playing a video game on “Hell Mode.” In the 1960s and 1970s, the Soviet Union sent robotic probes called Venera to explore it. The probes survived on the surface for less than an hour because the pressure was 90 times stronger than Earth and the temperature was hot enough to melt metal. But even in their final moments, while they were overheating and breaking apart, they still managed to take the only real photos ever captured from Venus’s surface. Photos from a place no human could ever survive.

Astronomy Vibes

676,382 görüntüleme • 8 ay önce

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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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

China pulse 🇨🇳

14,456 görüntüleme • 3 ay önce

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.
0:19

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.

AK

25,449 görüntüleme • 2 yıl önce