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20242026
most citedLetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

40 citations · 69 across the 17 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025

Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary

Zhirui Liu, Kaiyang Ji, Ke Yang +4

Enabling humanoid robots to follow free-form natural language commands is a critical step toward seamless human-robot interaction and general-purpose embodied AI. However, existing…

cs.CV2025

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis

Kaizhen Zhu, Mokai Pan, Zhechuan Yu +3

Diffusion Bridge and Flow Matching have both demonstrated compelling empirical performance in transformation between arbitrary distributions. However, there remains confusion about…

cs.CV2025

Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis

Kaiyang Ji, Ye Shi, Zichen Jin +5

Real-time synthesis of physically plausible human interactions remains a critical challenge for immersive VR/AR systems and humanoid robotics. While existing methods demonstrate pr…

cs.CV2025

A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control

Mokai Pan, Kaizhen Zhu, Yuexin Ma +4

Recent advances in diffusion bridge models leverage Doob's -transform to establish fixed endpoints between distributions, demonstrating promising results in image translation an…

cs.RO2025

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion

Yahao Fan, Tianxiang Gui, Kaiyang Ji +8

Achieving versatile humanoid locomotion with a single policy presents a critical scalability challenge. Prevailing methods often rely on distilling multiple terrain-specific teache…

cs.CV2025

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Kaizhen Zhu, Mokai Pan, Yuexin Ma +4

Recent advances in diffusion bridge models leverage Doob's -transform to establish fixed endpoints between distributions, demonstrating promising results in image translation an…