Paper-Conference

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Object-centric learning aims to represent visual data with a set of object entities (a.k.a. slots), providing structured …
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trajdata: A Unified Interface to Multiple Human Trajectory Datasets
The field of trajectory forecasting has grown significantly in recent years, partially owing to the release of numerous large-scale, …
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Geometry Matching for Multi-Embodiment Grasping
Many existing learning-based grasping approaches concentrate on a single embodiment, provide limited generalization to higher DoF …
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Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
Autonomous racing is a challenging task that requires vehicle han- dling at the dynamic limits of friction. While single-agent …
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Reference-guided Controllable Inpainting of Neural Radiance Fields
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a desire for NeRF editing tools. Here, we focus on …
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Invertible Neural Skinning
Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing …
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SparsePose: Sparse-View Camera Pose Regression and Refinement
Camera pose estimation is a key step in standard 3D reconstruction pipelines that operate on a dense set of images of a single object …
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SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel view synthesis. While NeRFs are quickly being adapted for a …
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Solving Continuous Control via Q-Learning
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Housekeep: Tidying Virtual Households using Commonsense Reasoning
We introduce Housekeep, a benchmark to evaluate commonsense reasoning in the home for embodied AI. In Housekeep, an embodied agent must …
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