65 citations · 476 across the 71 of their papers we have counts for
9 papers · 1 filter
An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning
Mino Nakura, Sriram Krishna, Yufei Wang +3
Visual imitation learning is a promising approach to training robot manipulation policies capable of completing a wide variety of tasks. However, policies today remain brittle to v…
Point4D: Long-range 4D Motion Reconstruction
Minsik Jeon, Jay Karhade, Deva Ramanan +1
We introduce Point4D, a feed-forward model for 4D reconstruction of long-range video sequences. Point4D is able to reliably infer dense per-point 3D trajectories across multi-hundr…
: Reactive Real-time Flow Policies
Sungjae Park, Shubham Tulsiani
Generalist manipulation policies increasingly take the form of action-chunking flow policies built on large pretrained backbones. Such chunks run open-loop, so the policy cannot re…
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Yehonathan Litman, Xiaoxuan Ma, Manan Shah +4
Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observations with data-driven priors over geometry and appearance. Prior…
GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation
Sriram Krishna, Ben Eisner, Haotian Zhan +5
We present GHOST, a framework for learning visuomotor manipulation policies that generalize beyond the training distribution. GHOST factorizes control into (i) a high-level policy…
EditCtrl: Disentangled Local and Global Control for Real-Time Generative Video Editing
Yehonathan Litman, Shikun Liu, Dario Seyb +5
High-fidelity generative video editing has seen significant quality improvements by leveraging pre-trained video foundation models. However, their computational cost is a major bot…
Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning
Zhongxiao Cong, Qitao Zhao, Minsik Jeon +1
Current feed-forward 3D/4D reconstruction systems rely on dense geometry and pose supervision -- expensive to obtain at scale and particularly scarce for dynamic real-world scenes.…
Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation
Yuxuan Kuang, Sungjae Park, Katerina Fragkiadaki +1
Learning generalist policies capable of accomplishing a wide range of everyday tasks remains an open challenge in dexterous manipulation. In particular, collecting large-scale mani…
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention
Yu Wu, Minsik Jeon, Jen-Hao Rick Chang +2
We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a mechanism that encodes patches uniquely, allows SE(3)-inv…