正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Pixel3DMM is a new method that can reconstruct 3D human faces from a single RGB image or multiple frames

Dreaming Tulpa 🥓👑

52,537 subscribers

32,565 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

SAM 3D Body is a CVPR 2026 award candidate paper from AI at Meta model recovers a full 3D human body mesh from a single RGB image you can run it automatically, or guide the reconstruction with masks and 2D keypoints thx to Niels Rogge for awesome demo idea

SAM 3D Body is a CVPR 2026 award candidate paper from AI at Meta model recovers a full 3D human body mesh from a single RGB image you can run it automatically, or guide the reconstruction with masks and 2D keypoints thx to Niels Rogge for awesome demo idea

SkalskiP

71,485 次观看 • 19 天前

Relightify: Relightable 3D Faces from a Single Image via Diffusion Models abs: paper page:

Relightify: Relightable 3D Faces from a Single Image via Diffusion Models abs: paper page:

AK

85,893 次观看 • 3 年前

Meta just dropped a new paper. "A Recipe for Generating 3D Worlds From a Single Image" Turn a single image into a high-quality 3D world ready for VR. 10 wild examples:

Meta just dropped a new paper. "A Recipe for Generating 3D Worlds From a Single Image" Turn a single image into a high-quality 3D world ready for VR. 10 wild examples:

Angry Tom

214,383 次观看 • 1 年前

there is a new gaussian splat method that can create high-quality 3D scenes from long videos without needing camera positions:

there is a new gaussian splat method that can create high-quality 3D scenes from long videos without needing camera positions:

Dreaming Tulpa 🥓👑

41,437 次观看 • 9 个月前

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,760 次观看 • 2 年前

Spell AI making a 3d volume from a single image. Link below

Spell AI making a 3d volume from a single image. Link below

Spline

10,815 次观看 • 1 年前

Someone just built a AI agent that connects to blender and builds full 3d models from a single image.

Someone just built a AI agent that connects to blender and builds full 3d models from a single image.

Oliver Prompts

53,398 次观看 • 2 个月前

(1/2) MonoNPHM will be presented as a #CVPR2024 Highlight! Our Neural Parametric Head Model parametrizes both geometry and appearance. With the learned model, we can then 3D reconstruct and track human heads from images or videos.

(1/2) MonoNPHM will be presented as a #CVPR2024 Highlight! Our Neural Parametric Head Model parametrizes both geometry and appearance. With the learned model, we can then 3D reconstruct and track human heads from images or videos.

Matthias Niessner

17,209 次观看 • 2 年前

the fact that i can take an image of a room and turn it into a 3d model in one shot is actually insane this took like 30 seconds from image to 3d model

the fact that i can take an image of a room and turn it into a 3d model in one shot is actually insane this took like 30 seconds from image to 3d model

Jan

131,884 次观看 • 7 个月前

Here’s how to create this cool 3D scene from a single image! 📸 Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)

Here’s how to create this cool 3D scene from a single image! 📸 Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)

Ian Curtis

117,693 次观看 • 1 年前

This AI 3D tool is on another level. A dragon head and a dungeon NPC. Both from a single image. Here is how:

This AI 3D tool is on another level. A dragon head and a dungeon NPC. Both from a single image. Here is how:

AI Highlight

141,349 次观看 • 8 天前

HOLY SHIT - generate 3D mesh from a single image in LESS THAN A SECOND 🤯

HOLY SHIT - generate 3D mesh from a single image in LESS THAN A SECOND 🤯

Vaibhav (VB) Srivastav

154,108 次观看 • 1 年前

SAM 3D Body on a gymnast. One RGB frame in. Full 3D body mesh out. 18,439 vertices. 36,874 faces. Rotating 360° around a real human. Locally on a 3-year old MacBook. What subject should I mesh next?

SAM 3D Body on a gymnast. One RGB frame in. Full 3D body mesh out. 18,439 vertices. 36,874 faces. Rotating 360° around a real human. Locally on a 3-year old MacBook. What subject should I mesh next?

Maziyar PANAHI

30,238 次观看 • 2 个月前

Apple just dropped a research paper called HeadsUp days before WWDC. Trained on 10,000+ real faces to reconstruct a fully animatable 3D Gaussian Splat that you can rotate and light. Excited to see Personas in visionOS 27.

Apple just dropped a research paper called HeadsUp days before WWDC. Trained on 10,000+ real faces to reconstruct a fully animatable 3D Gaussian Splat that you can rotate and light. Excited to see Personas in visionOS 27.

Justin Ryan ᯅ

107,136 次观看 • 1 个月前

NVIDIA published UniRelight! a new method that can relight single images or videos by estimating surface color (albedo) and creating realistic lighting effects in one step

NVIDIA published UniRelight! a new method that can relight single images or videos by estimating surface color (albedo) and creating realistic lighting effects in one step

Dreaming Tulpa 🥓👑

39,144 次观看 • 1 年前

OmniHuman 1 - creating lifelike human videos based on a single human image OmniHuman 1 from Bytedance is an end-to-end multimodality-conditioned human video generation framework, which can generate human videos based on a single human image and motion signals It can support input of any aspect ratio in terms of speech. It significantly improves the handling of gestures, which is a challenge for existing methods, and produces highly realistic results Below some examples

OmniHuman 1 - creating lifelike human videos based on a single human image OmniHuman 1 from Bytedance is an end-to-end multimodality-conditioned human video generation framework, which can generate human videos based on a single human image and motion signals It can support input of any aspect ratio in terms of speech. It significantly improves the handling of gestures, which is a challenge for existing methods, and produces highly realistic results Below some examples

Chubby♨️

140,481 次观看 • 1 年前

.Qwen has cooked really deep 🔥 Multi-Layer Decomposition is here! This is so photoshop completely AI powered! QwenImage-Layered is an end-to-end diffusion model that decomposes a single RGB image into multiple semantically disentangled RGBA layers That means, you can have targeted editing with much more precision without troubling other layers / components!

.Qwen has cooked really deep 🔥 Multi-Layer Decomposition is here! This is so photoshop completely AI powered! QwenImage-Layered is an end-to-end diffusion model that decomposes a single RGB image into multiple semantically disentangled RGBA layers That means, you can have targeted editing with much more precision without troubling other layers / components!

1LittleCoder💻

21,850 次观看 • 6 个月前

NVIDIA finally released Neuralangelo's source code! The model can turn videos from any device into detailed 3D structures, fully replicating buildings, sculptures, or other real aworld objects or spaces virtually. Here's how it works: A model utilizes a 2D video with multiple angles of an object or scene. I selects frames from different viewpoints to understand depth, size, and shape. The AI creates an initial 3D representation, similar to a sculptor shaping a subject. The render is optimized to enhance details, like a sculptor refining texture. The outcome is a 3D object or scene suitable for virtual reality, digital twins, or robotics.

NVIDIA finally released Neuralangelo's source code! The model can turn videos from any device into detailed 3D structures, fully replicating buildings, sculptures, or other real aworld objects or spaces virtually. Here's how it works: A model utilizes a 2D video with multiple angles of an object or scene. I selects frames from different viewpoints to understand depth, size, and shape. The AI creates an initial 3D representation, similar to a sculptor shaping a subject. The render is optimized to enhance details, like a sculptor refining texture. The outcome is a 3D object or scene suitable for virtual reality, digital twins, or robotics.

Lior Alexander

478,018 次观看 • 2 年前