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Found 8 papers, 3 papers with code
High Quality Human Image Animation using Regional Supervision and Motion Blur Condition
Although generating reasonable results, existing methods often overlook the need for regional supervision in crucial areas such as the face and hands, and neglect the explicit modeling for motion blur, leading to unrealistic low-quality synthesis.
Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation
In this work, we introduce a novel approach for creating controllable dynamics in 3D-generated Gaussians using casually captured reference videos.
REACTO: Reconstructing Articulated Objects from a Single Video
In this paper, we address the challenge of reconstructing general articulated 3D objects from a single video.
MoDA: Modeling Deformable 3D Objects from Casual Videos
To solve this problem, we propose neural dual quaternion blend skinning (NeuDBS) to achieve 3D point deformation, which can perform rigid transformation without skin-collapsing artifacts.
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
With $G$ as the basic component, we propose a cross consistency learning scheme and a dual reconstruction objective to learn the pose transfer without supervision.
3D Pose Transfer with Correspondence Learning and Mesh Refinement
It aims to transfer the pose of a source mesh to a target mesh and keep the identity (e. g., body shape) of the target mesh.
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
In a nutshell, our method maps photo into a feature model and renders the feature model back into image space.
Facial Image Deformation Based on Landmark Detection
In this work, we use facial landmarks to make the deformation for facial images more authentic.
