6 papers · 1 filter
Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images
Aditya Prakash, David Forsyth, Saurabh Gupta
We tackle the problem of forecasting bimanual 3D hand motion & articulation from a single image in everyday settings. To address the lack of 3D hand annotations in diverse settings…
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
Aditya Prakash, Benjamin Lundell, Dmitry Andreychuk +3
We tackle the novel problem of predicting 3D hand motion and contact maps (or Interaction Trajectories) given a single RGB view, action text, and a 3D contact point on the object a…
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
Aditya Prakash, Arjun Gupta, Saurabh Gupta
Objects undergo varying amounts of perspective distortion as they move across a camera's field of view. Models for predicting 3D from a single image often work with crops around th…
3D Hand Pose Estimation in Everyday Egocentric Images
Aditya Prakash, Ruisen Tu, Matthew Chang +1
3D hand pose estimation in everyday egocentric images is challenging for several reasons: poor visual signal (occlusion from the object of interaction, low resolution & motion blur…
3D Reconstruction of Objects in Hands without Real World 3D Supervision
Aditya Prakash, Matthew Chang, Matthew Jin +2
Prior works for reconstructing hand-held objects from a single image train models on images paired with 3D shapes. Such data is challenging to gather in the real world at scale. Co…
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
Zicong Fan, Takehiko Ohkawa, Linlin Yang +21
We interact with the world with our hands and see it through our own (egocentric) perspective. A holistic 3Dunderstanding of such interactions from egocentric views is important fo…