BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects
This work addresses the challenge of generating realistic hand-object animations for computer graphics and robotics, representing an incremental advance in this domain.
The paper tackles the problem of synthesizing 3D bimanual hand interactions with articulated objects without relying on reference grasps or separate modes, achieving state-of-the-art results in motion quality and diversity.
We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a coarse hand trajectory, or separate modes for grasping and articulating. To achieve this, we first generate distance-based contact maps conditioned on the object trajectory with an articulation-aware feature representation, revealing rich bimanual patterns for manipulation. The learned contact prior is then used to guide our hand motion generator, producing diverse and realistic bimanual motions for object movement and articulation. Our work offers key insights into feature representation and contact prior for articulated objects, demonstrating their effectiveness in taming the complex, high-dimensional space of bimanual hand-object interactions. Through comprehensive quantitative experiments, we demonstrate a clear step towards simplified and high-quality hand-object animations that surpass the state of the art in motion quality and diversity. Project page: https://vcai.mpi-inf.mpg.de/projects/bimart/.