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Yuan Liu

8 papers indexed

openalexMaterials Research Letters2026-07-23

Applications and challenges of machine learning in metal additive manufacturing

Xianzhe Peng, Zikang Xie, Yuan Liu, Pengcheng Hu, Lian Zhang, Mingyu Wang, et al.

Metal Additive manufacturing (MAM) enables the fabrication of geometrically complex, high-performance components but suffers from nonlinear process-structure-property relationships, defect formation, and costly optimization. This review systematically evaluates machine learning a…

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arxivcs.CV2026-07-23

WAT3R: Feedforward Underwater 3D Reconstruction

Jiayi Xu, Jiahao Lu, Ziqiang Zheng, Yihao Tan, Yaolong Zhu, Yuan Liu, et al.

Reliable feedforward underwater 3D reconstruction remains challenging due to severe light attenuation and backscattering, which degrade visual quality and disrupt feature consistency across views, leading to inaccurate multi-view geometry. To address this issue, we propose WAT3R,…

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arxivcs.CVcs.AIcs.LG2026-07-21

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

Fan Jiang, Zhaoxu Sun, Mengchao Wang, Ziyu Zhu, Chiyu Wang, Yunpeng Zhang, et al.

We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction, supported by a multi-source data infrastructure spanning AAA games, simulation engines, and internet videos to learn controllable world dynamics. WorldExplorer pe…

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arxivcs.CV2026-07-13

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space

Mingchao Sun, Luyang Tang, Yu Liu, Xu Yan, Zhan Li, Yunwei Zhang, et al.

We present ABot-3DWorld 0, a universal multimodal 3D world model that turns text, image, and video inputs into high-fidelity, explorable 3D worlds. At the heart of our framework is a unified Spatial Generative Primitive (SGP), a compact tuple of a high-quality panorama and a spat…

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arxivquant-phcs.AIcs.LG2026-07-01

When AI meets quantum information: A comprehensive review

Min Chen, Yu Gan, Xin Jin, Yuqing Li, Junqi Wang, Zeguan Wu, et al.

Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum systems, while QI offers new computational models, representational structures, and learning-theoretic qu…

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arxivcs.CVcs.AI2026-06-30

LUNA: Learning Universal 3D Human Animation Beyond Skinning

Peng Li, Rawal Khirodkar, Junxuan Li, Yuan Dong, Chen Cao, Yuan Liu, et al.

Creating photorealistic, animatable 3D human avatars from monocular images still largely depends on Linear Blend Skinning (LBS) and parametric body models, which constrain expressivity and often introduce artifacts due to imperfect fitting. We propose LUNA, an LBS-free universal…

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arxivcs.CV2026-06-28

NaLA: A 3D Native LLM Layout Agent for High-quality 3D Scene Generation

Cheng Wan, Yongsen Mao, Wenzheng Wu, Yuxuan Xie, Chucheng Xiang, Runze Wang, et al.

Recently, Large Language Models (LLMs) have emerged as promising layout agents for 3D scene generation. Existing layout agents still suffer from implausible layout generation because most of them convert 3D assets and 3D layouts into textual descriptions as inputs and outputs, wh…

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