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Humans in 4D: Reconstructing and tracking humans with transformers
We present an approach to reconstruct humans and track them over time. At the core of our
approach, we propose a fully" transformerized" version of a network for human mesh …
approach, we propose a fully" transformerized" version of a network for human mesh …
Human motion diffusion as a generative prior
Recent work has demonstrated the significant potential of denoising diffusion models for
generating human motion, including text-to-motion capabilities. However, these methods are …
generating human motion, including text-to-motion capabilities. However, these methods are …
Decoupling human and camera motion from videos in the wild
We propose a method to reconstruct global human trajectories from videos in the wild. Our
optimization method decouples the camera and human motion, which allows us to place …
optimization method decouples the camera and human motion, which allows us to place …
Monohuman: Animatable human neural field from monocular video
Animating virtual avatars with free-view control is crucial for various applications like virtual
reality and digital entertainment. Previous studies have attempted to utilize the …
reality and digital entertainment. Previous studies have attempted to utilize the …
NIKI: Neural inverse kinematics with invertible neural networks for 3d human pose and shape estimation
With the progress of 3D human pose and shape estimation, state-of-the-art methods can
either be robust to occlusions or obtain pixel-aligned accuracy in non-occlusion cases …
either be robust to occlusions or obtain pixel-aligned accuracy in non-occlusion cases …
Tokenhmr: Advancing human mesh recovery with a tokenized pose representation
We address the problem of regressing 3D human pose and shape from a single image with
a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo …
a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo …
Gfpose: Learning 3d human pose prior with gradient fields
Learning 3D human pose prior is essential to human-centered AI. Here, we present GFPose,
a versatile framework to model plausible 3D human poses for various applications. At the …
a versatile framework to model plausible 3D human poses for various applications. At the …
Visibility aware human-object interaction tracking from single rgb camera
Capturing the interactions between humans and their environment in 3D is important for
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …
Nifty: Neural object interaction fields for guided human motion synthesis
We address the problem of generating realistic 3D motions of humans interacting with
objects in a scene. Our key idea is to create a neural interaction field attached to a specific …
objects in a scene. Our key idea is to create a neural interaction field attached to a specific …
Score-guided diffusion for 3d human recovery
Abstract We present Score-Guided Human Mesh Recovery (ScoreHMR) an approach for
solving inverse problems for 3D human pose and shape reconstruction. These inverse …
solving inverse problems for 3D human pose and shape reconstruction. These inverse …