3 citations · 6 across the 8 of their papers we have counts for
9 papers · 1 filter
IMAGIN-4D: Image-Guided Controllable Interaction Generation
Sai Kumar Dwivedi, Federica Bogo, Buğra Tekin +6
Generating human-object interactions (HOI) is central to character animation, robotics, AR/VR, and embodied AI. Recent HOI generation methods synthesize motion from text, object ge…
LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image
Dimitrije Antić, Alvaro Budria, George Paschalidis +2
Reconstructing 3D Human-Object Interaction from an RGB image is essential for perceptive systems. Yet, this remains challenging as it requires capturing the subtle physical couplin…
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 Antić, 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…
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
Rick Akkerman, Haiwen Feng, Michael J. Black +2
Predicting the dynamics of interacting objects is essential for both humans and intelligent systems. However, existing approaches are limited to simplified, toy settings and lack g…
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
Dimitrije Antić, 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…
3D Whole-body Grasp Synthesis with Directional Controllability
Georgios Paschalidis, Romana Wilschut, Dimitrije Antić +2
Synthesizing 3D whole bodies that realistically grasp objects is useful for animation, mixed reality, and robotics. This is challenging, because the hands and body need to look nat…
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy +3
Understanding how humans use physical contact to interact with the world is key to enabling human-centric artificial intelligence. While inferring 3D contact is crucial for modelin…
GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency
Omid Taheri, Yi Zhou, Dimitrios Tzionas +4
Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object inter…