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Research

MOMASPLAT: Novel-View Augmentation for Mobile Manipulation Policies

MOMASPLAT is a framework that augments imitation learning demonstrations for mobile manipulation by synthesizing full trajectories from unseen robot base poses, including dynamic object interactions. It combines 3D Gaussian Splatting, feed-forward 3D foundation models, and kinematics-based action retargeting to reconstruct static scenes and manipulated objects separately. Evaluated on five real-world tasks, it more than doubles the average success rate of the strongest baseline and maintains non-trivial success at large base displacements.

Mobile ManipulationImitation LearningNovel-View Synthesis
Research

Visual-to-Executable Procedural Reconstruction of Buildings

This paper introduces a method to reconstruct editable 3D building assets from single in-the-wild images by recovering executable procedural models. It uses a two-stage pipeline: a Global Structure Layout Tree for facade organization and a Component Parameterization schema for local details, then compiles them into CGA programs. The approach avoids direct low-level program generation, improving robustness and executability.

procedural modelingcomputer vision3D reconstruction
Industry Editor selected

Gaode Unveils ABot-Earth 0.5: Native 3D Urban World Model

Gaode Maps (Alibaba Group) Unveils ABot-Earth 0.5: The World&#39;s First Natively 3D-Trained Urban World ModelJune 8, 2026&nbsp;– Today, Gaode Maps, a subsidiary of Alibaba Group, officially launched&nbsp;ABot-Earth 0.5, marking a revolutionary miles<!--autointro-->

Unreal Engine3D Gaussian Splatting3D Reconstruction
Industry

PlayCanvas Releases SuperSplat: The Professional Open-Source 3D Gaussian Splat Editor

🚀 PlayCanvas Unveils SuperSplat: A Professional Open-Source 3D Gaussian Splat EditorSuperSplat, a specialized open-source editor for&nbsp;3D Gaussian Splatting, has been officially released by the renowned Web 3D engine team,&nbsp;PlayCanvas. Designe<!--autointro-->

3D Gaussian SplattingOpen SourceGitHub