正在加载视频...

视频加载失败

返回首页

3D Head Modeling Test Input Image from Toby VirtualFilmer

DeemosTech's profile picture

Hyper3D by Deemos

15,799 subscribers

52,178 次观看 • 4 个月前 •via X (Twitter)

LIVE

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

📢 A Recipe for Generating 3D Worlds From a Single Image 📢 Our recipe explains how existing generative models can be adapted with minimal training effort to generate 3D worlds from a single input image.
0:28

📢 A Recipe for Generating 3D Worlds From a Single Image 📢 Our recipe explains how existing generative models can be adapted with minimal training effort to generate 3D worlds from a single input image.

Katja Schwarz

14,176 次观看 • 1 年前

just got access to World Labs Atlas and holy shit it's so good. image to 3D is basically solved. Image input is from MJ 8.1.
0:25

just got access to World Labs Atlas and holy shit it's so good. image to 3D is basically solved. Image input is from MJ 8.1.

Erik Luo

37,151 次观看 • 14 天前

(1/2) LightIt: Illumination Modeling and Control for Diffusion Models! #CVPR2024 We facilitate lighting control for novel image generation from text prompts. We can also edit lighting for a given input image. Video: Project:
0:31

(1/2) LightIt: Illumination Modeling and Control for Diffusion Models! #CVPR2024 We facilitate lighting control for novel image generation from text prompts. We can also edit lighting for a given input image. Video: Project:

Matthias Niessner

19,849 次观看 • 2 年前

📢ProcGen3D: Learning Neural Procedural Graphs for Image-to-3D Reconstruction Xinyi Zhang learns neural procedural graphs to generate high-fidelity 3D - MCTS-guided sampling maintains consistency with the input image, even from real images! Check it out:
0:38

📢ProcGen3D: Learning Neural Procedural Graphs for Image-to-3D Reconstruction Xinyi Zhang learns neural procedural graphs to generate high-fidelity 3D - MCTS-guided sampling maintains consistency with the input image, even from real images! Check it out:

Angela Dai

14,702 次观看 • 11 个月前

3D Alignment doesn't stop at geometry. This time, texture. Meshy 7 carries style, color and brushwork straight from your input image. Not a mesh that resembles your art. Your art, in 3D.❤️‍🔥
0:30

3D Alignment doesn't stop at geometry. This time, texture. Meshy 7 carries style, color and brushwork straight from your input image. Not a mesh that resembles your art. Your art, in 3D.❤️‍🔥

MeshyAI

85,472 次观看 • 2 个月前

📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: Project: Our core idea is to make Gaussian Reconstruction Models animatable. We find that a simple cross-attention to an expression code sequence is already sufficient to model complex facial expressions. We then incorporate position maps from DUSt3R and feature maps from Sapiens to facilitate the prediction task. While DUSt3R's position maps act as a pixel-aligned initialization for the Gaussians' positions, the Sapiens feature maps help the cross-view transformer to match corresponding image tokens in the 4 input images. One major challenge in creating a 3D head avatar from smartphone images comes from inconsistent facial expressions when the subject could not remain perfectly static during the capture. We eliminate this static requirement by simply showing our model input images with different facial expressions during training. This technique makes our model robust to inconsistent input images later on. Finally, we show that despite the model has been trained with 4 input images, one can even create a 3D head avatar when only a single image is available. To achieve this, we employ a pre-trained 3D GAN to lift the single image to 3D and then render the 4 input images for our model. This allows us to create 3D head avatars from single images and even highly out-of-distribution examples like AI generated faces, paintings or statues. Great work by Tobias Kirschstein from his internship at Meta with Javier Romero, Artem Sevastopolsky, and Shunsuke Saito
0:38

📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: Project: Our core idea is to make Gaussian Reconstruction Models animatable. We find that a simple cross-attention to an expression code sequence is already sufficient to model complex facial expressions. We then incorporate position maps from DUSt3R and feature maps from Sapiens to facilitate the prediction task. While DUSt3R's position maps act as a pixel-aligned initialization for the Gaussians' positions, the Sapiens feature maps help the cross-view transformer to match corresponding image tokens in the 4 input images. One major challenge in creating a 3D head avatar from smartphone images comes from inconsistent facial expressions when the subject could not remain perfectly static during the capture. We eliminate this static requirement by simply showing our model input images with different facial expressions during training. This technique makes our model robust to inconsistent input images later on. Finally, we show that despite the model has been trained with 4 input images, one can even create a 3D head avatar when only a single image is available. To achieve this, we employ a pre-trained 3D GAN to lift the single image to 3D and then render the 4 input images for our model. This allows us to create 3D head avatars from single images and even highly out-of-distribution examples like AI generated faces, paintings or statues. Great work by Tobias Kirschstein from his internship at Meta with Javier Romero, Artem Sevastopolsky, and Shunsuke Saito

Matthias Niessner

74,863 次观看 • 1 年前

a few space scenes made with atlas. each one started from a single image. atlas generates the video as the camera moves, including the parts of the scene that weren’t in the original image. orange = input image in 3D space blue = camera moving through the scene
0:20

a few space scenes made with atlas. each one started from a single image. atlas generates the video as the camera moves, including the parts of the scene that weren’t in the original image. orange = input image in 3D space blue = camera moving through the scene

Ian Curtis

10,414 次观看 • 11 天前

Head Angles Test😊 Does this look 3D? #Live2Dwip #Vtuber
0:21

Head Angles Test😊 Does this look 3D? #Live2Dwip #Vtuber

Noda ✿ Live2D

22,887 次观看 • 7 个月前

3D Modeling consists of 80% spinning and 20% modeling.
0:22

3D Modeling consists of 80% spinning and 20% modeling.

FrellingHazmot

22,531 次观看 • 6 个月前

Atlas lets you build out large 3D environments starting from a single input image. You can then define a camera path through the world and generate a video along it. Here’s how the 3D structure, camera path and final flythrough connect.
1:04

Atlas lets you build out large 3D environments starting from a single input image. You can then define a camera path through the world and generate a video along it. Here’s how the 3D structure, camera path and final flythrough connect.

World Labs

18,939 次观看 • 4 天前

Apple drops a new 3D model generator, LiTo > Learns geometry + appearance together in a unified 3D latent space > Turns RGB-D images into a compact surface light field > Recreates specular highlights under complex lighting > Generates 3D objects from a single image with input-consistent materials Big step toward more realistic 3D generation
0:33

Apple drops a new 3D model generator, LiTo > Learns geometry + appearance together in a unified 3D latent space > Turns RGB-D images into a compact surface light field > Recreates specular highlights under complex lighting > Generates 3D objects from a single image with input-consistent materials Big step toward more realistic 3D generation

AI Search

13,078 次观看 • 5 个月前

Rewrite The Odyssey in your own playable game demo! No 3D modeling, no coding, just one image! With HappyOyster World Model, you can turn any image into an interactive game demo in seconds.
0:41

Rewrite The Odyssey in your own playable game demo! No 3D modeling, no coding, just one image! With HappyOyster World Model, you can turn any image into an interactive game demo in seconds.

HappyOyster

1,660,870 次观看 • 2 个月前

From LA to New York, the model continuously impresses me. This time utilizing an Image To World, the consistency in aesthetics from the input image is remarkable.
0:57

From LA to New York, the model continuously impresses me. This time utilizing an Image To World, the consistency in aesthetics from the input image is remarkable.

Theoretically Media

34,467 次观看 • 9 个月前

F22 Fighter Pilot simulation with 1 input image with the incredible new #Genie3 from Google GoogleDeepMind
0:59

F22 Fighter Pilot simulation with 1 input image with the incredible new #Genie3 from Google GoogleDeepMind

GenMagnetic

60,948 次观看 • 9 个月前

3d modeling behind the scenes
0:51

3d modeling behind the scenes

⭐️ Alina ⭐️

29,681 次观看 • 3 个月前