6 papers
Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation
Siddhant Bansal, Zhifan Zhu, Shashank Tripathi +3
Estimating accurate 3D hand-object pose from in-the-wild egocentric RGB remains challenging due to severe occlusions and ambiguous contact. Existing learning-based methods often st…
UniCon3R: Unified Contact-aware 4D Human-Scene Reconstruction from Monocular Video
Tanuj Sur, Shashank Tripathi, Nikos Athanasiou +4
We introduce UniCon3R, a unified feed-forward framework for online human-scene 4D reconstruction from monocular video. Current feed-forward human-scene reconstruction methods suffe…
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
Dimitrije AntiÄ, Georgios Paschalidis, Shashank Tripathi +3
Recovering 3D object pose and shape from a single image is a challenging and ill-posed problem. This is due to strong (self-)occlusions, depth ambiguities, the vast intra- and inte…
PICO: Reconstructing 3D People In Contact with Objects
Alpár Cseke, Shashank Tripathi, Sai Kumar Dwivedi +4
Recovering 3D Human-Object Interaction (HOI) from single color images is challenging due to depth ambiguities, occlusions, and the huge variation in object shape and appearance. Th…
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
Sai Kumar Dwivedi, Dimitrije AntiÄ, Shashank Tripathi +4
We introduce InteractVLM, a novel method to estimate 3D contact points on human bodies and objects from single in-the-wild images, enabling accurate human-object joint reconstructi…
HUMOS: Human Motion Model Conditioned on Body Shape
Shashank Tripathi, Omid Taheri, Christoph Lassner +3
Generating realistic human motion is essential for many computer vision and graphics applications. The wide variety of human body shapes and sizes greatly impacts how people move.…