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Found 17 papers, 5 papers with code
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
To this end, we introduce DexMimicGen, a large-scale automated data generation system that synthesizes trajectories from a handful of human demonstrations for humanoid robots with dexterous hands.
Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions
Humanoid robots, with their human-like embodiment, have the potential to integrate seamlessly into human environments.
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation
We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations.
ARDuP: Active Region Video Diffusion for Universal Policies
Sequential decision-making can be formulated as a text-conditioned video generation problem, where a video planner, guided by a text-defined goal, generates future frames visualizing planned actions, from which control actions are subsequently derived.
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
We introduce GROOT, an imitation learning method for learning robust policies with object-centric and 3D priors.
LEAP: Liberate Sparse-view 3D Modeling from Camera Poses
Are camera poses necessary for multi-view 3D modeling?
Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Incorporating semantic priors with self-supervised flow training, Doduo produces accurate dense correspondence robust to the dynamic changes of the scenes.
Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
We demonstrate the effectiveness of our approach in both simulation and real-world scenes.
The diagnostic utility of endocytoscopy for the detection of esophageal lesions: a systematic review and meta-analysis
Objective: To systematically evaluate the value of endocytoscopy (ECS) in the diagnosis of early esophageal cancer (EC).
Few-View Object Reconstruction with Unknown Categories and Camera Poses
The reconstruction results under predicted poses are comparable to the ones using ground-truth poses.
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Manipulating volumetric deformable objects in the real world, like plush toys and pizza dough, bring substantial challenges due to infinite shape variations, non-rigid motions, and partial observability.
Ditto: Building Digital Twins of Articulated Objects from Interaction
We also apply Ditto to real-world objects and deploy the recreated digital twins in physical simulation.
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Previous cycle-consistency correspondence learning methods usually leverage image patches for training.
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
The experimental results in simulation and on the real robot have demonstrated that the use of implicit neural representations and joint learning of grasp affordance and 3D reconstruction have led to state-of-the-art grasping results.
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Shape deformation is an important component in any geometry processing toolbox.
Graphics
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020
Specifically, in order to generate high-quality proposals, we consider several factors including the video feature encoder, the proposal generator, the proposal-proposal relations, the scale imbalance, and ensemble strategy.
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
In this paper, we propose a deep face super-resolution (FSR) method with iterative collaboration between two recurrent networks which focus on facial image recovery and landmark estimation respectively.
