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Code and data are now online for CameraHMR, our state-of-the-art parametric 3D human pose and shape (HPS) estimation method that will appear at hashtag#3DV2025. There are 4 key contributions that make it so accurate and robust: 1. To get accurate 3D shape and pose as well as good alignment... to image features, you need to know the focal length of the camera. To solve this, we train HumanFOV to compute the field of view. 2. We introduce CameraHMR, which integrates HumanFOV into HMR2.0 to exploit the estimated focal length. 3. To get accurate pseudo ground truth (pGT) training data, we compute the focal length for images in 4DHumans dataset and modify SMPLify to take this into account. 4. But SMPLify only uses sparse 2D keypoints, which do not capture body shape. So we train a dense surface keypoint detector, DenseKP, on BEDLAM and run it on 4DHumans, resulting in improved body shape. The resulting method is CamSMPLify. We iterate training CameraHMR and running CamSMPLify on the training set initialized with CameraHMR. This results in much improved pGT for 4DHumans and a SOTA single-image HMR method.show more

Michael Black

93,794 subscribers

21,647 次观看 • 1 年前 •via X (Twitter)

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9 条评论

Jerin Philip 的头像

Jerin Philip1 年前

Nice work, currently looking into using it. When is the release of CamSMPLify + HumanFoV + DenseKP expected? What's the hardware requirements to train this end-to-end? 4D-Humans mention 8 A100 GPUs for 7 days, does this require similar?

Michael Black 的头像

Michael Black1 年前

All code will be out before 3DV takes place.

Digital Currency 的头像

Digital Currency2 年前

From 3D modeling to VR/AR development, our MSc in Metaverse program equips you with the technical skills to excel in the rapidly evolving digital world. Don't miss out—enroll today! #UNIC #MScMetaverse

Duke 'Burrito Haver' Zero 的头像

Duke 'Burrito Haver' Zero1 年前

could you embed a sentiment layer keyed to facial expressions / body language?

Michael Black 的头像

Michael Black1 年前

This method is just about pixels to parameters but, yes, relating these parameters to expressions and body language is something we are interested in. E.g., have a look at our work on generating moving people from audio:

lotsoflittleprojects 的头像

lotsoflittleprojects1 年前

Will this model get folded into Meshcapade?

Michael Black 的头像

Michael Black1 年前

The next Meshcapade release will have many goodies that go beyond CameraHMR. Coming soon!

Matt Jaynes 的头像

Matt Jaynes1 年前

@camenduru Damn! Impressive!

JohnYue122333 的头像

JohnYue1223331 年前

MPI, awesome!

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AK

249,572 次观看 • 2 年前

There's a problem with 3D human pose & shape (HPS) estimation methods. You either get good 3D accuracy or good alignment with the image, but not both. Why? The current top methods use the wrong camera model. TokenHMR at #CVPR2024 analyzes the issue and presents a solution. (1/8)

There's a problem with 3D human pose & shape (HPS) estimation methods. You either get good 3D accuracy or good alignment with the image, but not both. Why? The current top methods use the wrong camera model. TokenHMR at #CVPR2024 analyzes the issue and presents a solution. (1/8)

Michael Black

80,462 次观看 • 2 年前