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Made with Depth Scanner by @ActionMovieKid Get Depth Scanner #aescripts #aftereffects #depthscanner Used Depth Scanner to create a displacement map - the latest update has the best temporal coherence they’ve had so far with this plug-in

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aescripts+aeplugins

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66,885 görüntüleme • 3 yıl önce •via X (Twitter)

#aescripts#aftereffects#depthscanner
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nabil zamanhuri profil fotoğrafı
nabil zamanhuri3 yıl önce

@ActionMovieKid This is so awesome! @mogiygjahat

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DEDSEC3 yıl önce

@ActionMovieKid @RedXVFX

Unbiased_Bayasan profil fotoğrafı
Unbiased_Bayasan3 yıl önce

@ActionMovieKid It's good for Stereoscopy Not recommended for VFX

mrdoob profil fotoğrafı
mrdoob3 yıl önce

@ActionMovieKid *depth map 🤓

Ross Hamil profil fotoğrafı
Ross Hamil3 yıl önce

@ActionMovieKid Last I checked it was Windows only. I desperately needed this tool 2 weeks ago 😩😩

Benzer Videolar

Made with Depth Scanner by @_alanvfx #aftereffects #aescripts #depthscanner Trying out depth scanner from aescripts+aeplugins to get better volume and atmosphere entirely in comp. Pretty damn clean!
0:43

Made with Depth Scanner by @_alanvfx #aftereffects #aescripts #depthscanner Trying out depth scanner from aescripts+aeplugins to get better volume and atmosphere entirely in comp. Pretty damn clean!

aescripts+aeplugins

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Made this video (🎶) with a Midjourney v6 image! Started by upscaling/refining with Magnific.ai, pulled a Marigold Depth Map from that in ComfyUI, then used as a displacement map in Blender where I animated this camera pass with some relighting and narrow depth of field.🧵1/12
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Made this video (🎶) with a Midjourney v6 image! Started by upscaling/refining with Magnific.ai, pulled a Marigold Depth Map from that in ComfyUI, then used as a displacement map in Blender where I animated this camera pass with some relighting and narrow depth of field.🧵1/12

CoffeeVectors

135,713 görüntüleme • 2 yıl önce

I made this holographic card with Opus 5.5 by combining 2D artwork with 3D objects. I used multiple PNG layers with a depth map skill then added 3D elements like the sword and card extrusion. That combination gives the card its depth. Making the best holographic card I can has been one of my side quests. I think this is it. Live site: My 3D skills are open source:
0:29

I made this holographic card with Opus 5.5 by combining 2D artwork with 3D objects. I used multiple PNG layers with a depth map skill then added 3D elements like the sword and card extrusion. That combination gives the card its depth. Making the best holographic card I can has been one of my side quests. I think this is it. Live site: My 3D skills are open source:

Meng To

104,961 görüntüleme • 15 gün önce

How to find all HOBs/BBs with ease. In the right hands, this scanner is overpowered.
2:03

How to find all HOBs/BBs with ease. In the right hands, this scanner is overpowered.

ㄥ86

29,686 görüntüleme • 1 ay önce

Took it further with Omma AI, (Spline ) now it works on video, and everything working in a Web Browser. Drop a video, Depth Anything v2 calculates the depth map frame by frame, and Three.js renders a fully lit 3D mesh in real time. Depth estimation on video in the browser +Automatic baking pass + Dynamic lighting reacting to the geometry #vibecoding #threejs #webgl
0:40

Took it further with Omma AI, (Spline ) now it works on video, and everything working in a Web Browser. Drop a video, Depth Anything v2 calculates the depth map frame by frame, and Three.js renders a fully lit 3D mesh in real time. Depth estimation on video in the browser +Automatic baking pass + Dynamic lighting reacting to the geometry #vibecoding #threejs #webgl

Joseph Azar

149,128 görüntüleme • 5 ay önce

The robot’s “eyes” just received a big upgrade. LingBot-Depth 2.0, a depth-completion model with half the depth error just dropped. 12/16 benchmarks topped. Glass, mirrors, and transparent objects are so easy for us humans, but so hard for robots, because they do not behave like ordinary surfaces in a camera pipeline. A robot that misunderstands a balcony window or a table edge, will have a completely false planning inside a false world. Huge implecation. LingBot-Depth 2.0 takes an RGB image plus a broken depth map from a sensor and then outputs a cleaner depth map and a usable 3D point cloud. Numbers on LingBot-Depth 2.0 - Excels on glass, mirrors & transparent objects — where traditional depth cameras fail - Training data: 3M → 150M (50x scale-up) - 12 out of 16 first-place rankings on depth completion benchmarks - RMSE cut in half: 0.132 → 0.062 on the hardest indoor scenes LingBot-Vision trained on boundaries, because object edges carry the geometry robots need. No human boundary labels are used, which makes this approach easier to scale. The open-sourced LingBot-Vision is the general vision backbone, and LingBot-Depth 2.0 is the depth model built on it.
2:22

The robot’s “eyes” just received a big upgrade. LingBot-Depth 2.0, a depth-completion model with half the depth error just dropped. 12/16 benchmarks topped. Glass, mirrors, and transparent objects are so easy for us humans, but so hard for robots, because they do not behave like ordinary surfaces in a camera pipeline. A robot that misunderstands a balcony window or a table edge, will have a completely false planning inside a false world. Huge implecation. LingBot-Depth 2.0 takes an RGB image plus a broken depth map from a sensor and then outputs a cleaner depth map and a usable 3D point cloud. Numbers on LingBot-Depth 2.0 - Excels on glass, mirrors & transparent objects — where traditional depth cameras fail - Training data: 3M → 150M (50x scale-up) - 12 out of 16 first-place rankings on depth completion benchmarks - RMSE cut in half: 0.132 → 0.062 on the hardest indoor scenes LingBot-Vision trained on boundaries, because object edges carry the geometry robots need. No human boundary labels are used, which makes this approach easier to scale. The open-sourced LingBot-Vision is the general vision backbone, and LingBot-Depth 2.0 is the depth model built on it.

Rohan Paul

25,312 görüntüleme • 3 ay önce

OPPO Find X8 Ultra has an amazing, truly AMAZING ultrasonic under-screen fingerprint scanner. This has to be the fastest and most reliable I've ever used in a smartphone. 🔥
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OPPO Find X8 Ultra has an amazing, truly AMAZING ultrasonic under-screen fingerprint scanner. This has to be the fastest and most reliable I've ever used in a smartphone. 🔥

Alvin

38,708 görüntüleme • 1 yıl önce

UPDATE 19 bodies recovered so far: Divers accessed the wreckage in the Potomac River and reported numerous passengers still strapped in their seats underwater, according to scanner #Reagan #Reagan #DCCRASH #DCplanecrash #Washington #PlaneCrash #America
0:43

UPDATE 19 bodies recovered so far: Divers accessed the wreckage in the Potomac River and reported numerous passengers still strapped in their seats underwater, according to scanner #Reagan #Reagan #DCCRASH #DCplanecrash #Washington #PlaneCrash #America

ℂ𝕙𝕖 𝔾𝕦𝕖𝕧𝕒𝕣𝕒 ★

234,333 görüntüleme • 1 yıl önce

Wz Audio is much better since the update. I’ve been messing with the Asymmetrical audio frequency settings and have been using this with good results + Dolby Atmos. Obviously way more in-depth tunes out there but this has been working for me so far.
1:54

Wz Audio is much better since the update. I’ve been messing with the Asymmetrical audio frequency settings and have been using this with good results + Dolby Atmos. Obviously way more in-depth tunes out there but this has been working for me so far.

TeeP

261,180 görüntüleme • 1 yıl önce

I've been playing more with this depth map motion transfer workflow, and if you're trying to recreate really specific body movements from a reference video, this works surprisingly well. Here's the workflow: 1. Grab your reference video, then create your character and environment references. 2. Run the video through Depth Anything on fal to generate a depth map: 3. Drop that depth map into Seedance Omni as your motion reference along with your character and environment references. You don't even need the original video. I also tested this against using the original video as the motion reference in Seedance, and there's definitely a noticeable difference. One thing I found, though, is that this works much better for body movement than facial performance since the depth map can't really capture subtle facial motion. I'm running more tests to see if there's a good way to control both body movement and facial performance. If you have any workflows I should try, do share in the comments!
0:52

I've been playing more with this depth map motion transfer workflow, and if you're trying to recreate really specific body movements from a reference video, this works surprisingly well. Here's the workflow: 1. Grab your reference video, then create your character and environment references. 2. Run the video through Depth Anything on fal to generate a depth map: 3. Drop that depth map into Seedance Omni as your motion reference along with your character and environment references. You don't even need the original video. I also tested this against using the original video as the motion reference in Seedance, and there's definitely a noticeable difference. One thing I found, though, is that this works much better for body movement than facial performance since the depth map can't really capture subtle facial motion. I'm running more tests to see if there's a good way to control both body movement and facial performance. If you have any workflows I should try, do share in the comments!

Curious Refuge

16,709 görüntüleme • 2 ay önce

Renowned Turkish scientist Canan Dagdeviren has added the latest addition to her long list of inventions in medical technology — a wearable ultrasound scanner that can transform cancer diagnosis
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Renowned Turkish scientist Canan Dagdeviren has added the latest addition to her long list of inventions in medical technology — a wearable ultrasound scanner that can transform cancer diagnosis

Anadolu English

23,385 görüntüleme • 3 yıl önce

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.
11:34

We just tested what might be the most accurate motion transfer workflow we've seen so far. It's a little more involved than a standard workflow, but the results are pretty impressive. Here's the basic workflow: 1. Start with your reference footage. Create character and environment references. 2. Convert the reference footage into a depth map (with Depth-Anything tool on Fal: 3. (Optional) Layer on additional guidance like colorized character masks (with Meta's Segment Anything: and or skeleton poses (with 4. Feed the depth map into Seedance 2.0 Omni as your motion reference along with your character and environment references. 5. Generate your final video. After testing several variations, the depth map workflow consistently produced the cleanest and most accurate motion transfer. If you're trying to recreate specific performances or complex movement, this is one of the closest AI workflows we've seen to achieving production-quality results.

Curious Refuge

31,362 görüntüleme • 2 ay önce

It's time to go in-depth with the #MITB Ladder Match! 👏 Presented by MATTEL
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It's time to go in-depth with the #MITB Ladder Match! 👏 Presented by MATTEL

WWE

123,822 görüntüleme • 3 gün önce

Water caustics improvements: - Added a "focal depth" with max "sharpness", caustics get smoother away from the focal depth - Voronoi octaves added+multiplied (n1+n2+n1*n2) to make overlaps extra bright - Slight chromatic dispersion, amplified at focal depth
0:39

Water caustics improvements: - Added a "focal depth" with max "sharpness", caustics get smoother away from the focal depth - Voronoi octaves added+multiplied (n1+n2+n1*n2) to make overlaps extra bright - Slight chromatic dispersion, amplified at focal depth

Charlie Callahan

21,717 görüntüleme • 2 ay önce

For the facial animations in my game, I use a technique that yields results similar to L.A. Noire. To keep it simple: I first generate a facial animation video using AI like LTX 2. Then, I create a video depth map from that animation and project it onto a face mask. Using vertex displacement, the depth map dynamically deforms the face as the character speaks. The result looks good in standalone VR. I actually created this workflow long time ago:
0:09

For the facial animations in my game, I use a technique that yields results similar to L.A. Noire. To keep it simple: I first generate a facial animation video using AI like LTX 2. Then, I create a video depth map from that animation and project it onto a face mask. Using vertex displacement, the depth map dynamically deforms the face as the character speaks. The result looks good in standalone VR. I actually created this workflow long time ago:

Alex

48,582 görüntüleme • 7 ay önce

How I used 𝕏 (and CT) to turn $10,000 into $30,000. My custom AI scanner gives me a massive information edge in the market (copy this):
1:17

How I used 𝕏 (and CT) to turn $10,000 into $30,000. My custom AI scanner gives me a massive information edge in the market (copy this):

Miles Deutscher

36,587 görüntüleme • 9 gün önce

I prompted Omma to build a #threejs app with real dynamic lighting on a 3D mesh - generated from a single image, using Depth Anything v2 + Transformers from Hugging Face ⚡ Depth estimation in the browser 🫧 3D mesh from the depth map 💡 Dynamic lighting reacting to the geometry No manual code. Pure AI prompting. The future of 3D on the web feels wide open.
0:40

I prompted Omma to build a #threejs app with real dynamic lighting on a 3D mesh - generated from a single image, using Depth Anything v2 + Transformers from Hugging Face ⚡ Depth estimation in the browser 🫧 3D mesh from the depth map 💡 Dynamic lighting reacting to the geometry No manual code. Pure AI prompting. The future of 3D on the web feels wide open.

Joseph Azar

14,041 görüntüleme • 5 ay önce

Depth Anything V2 This work presents Depth Anything V2. Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model. Notably, compared with V1, this version produces much finer and more
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Depth Anything V2 This work presents Depth Anything V2. Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model. Notably, compared with V1, this version produces much finer and more

AK

114,537 görüntüleme • 2 yıl önce

In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion
2:29

In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion

Blockade Labs

11,458 görüntüleme • 3 yıl önce

🇮🇳🏏 What a phenomenal run by #TeamIndia in the ODI World Cup 2023 so far! With stellar captaincy by Rohit Sharma The team has shown exceptional skill and determination on the field. 🫡🏆 Excited to share my thoughts and in-depth analysis in my latest YouTube video! 🎥🔍 Watch here: #CWC23 #Cricket
1:34

🇮🇳🏏 What a phenomenal run by #TeamIndia in the ODI World Cup 2023 so far! With stellar captaincy by Rohit Sharma The team has shown exceptional skill and determination on the field. 🫡🏆 Excited to share my thoughts and in-depth analysis in my latest YouTube video! 🎥🔍 Watch here: #CWC23 #Cricket

AB de Villiers

771,122 görüntüleme • 3 yıl önce