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20242026
most citedNOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction

1 citations · 1 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

World Models for Embodied Intelligence: From Plausible to Controllable to Actionable

Nanjie Yao, Hao Wang, Chong Cheng +10

World models connect perception and decision-making in embodied intelligence by maintaining hidden state, anticipating consequences, comparing interventions, and adapting when exec…

cs.AI2026

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games

Zheng Zhang, Nanjie Yao, Jiarui He +3

Social deduction games (SDGs) such as Werewolf have become challenging testbeds for AI agents. These games require complex social skills such as reasoning, deception, and collabora…

cs.AI2026

EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation

Qi Chai, Wenhao Shen, Nanjie Yao +5

Zero-Shot Object-Goal Navigation (ZS-OGN) requires embodied agents to explore and locate target objects without any prior training. To this end, recent methods leverage foundation…

cs.CV2026

HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction

Chong Cheng, Peilin Tao, Nanjie Yao +9

Online 3D reconstruction requires estimating camera pose and scene geometry under strict causal and bounded-memory constraints. Existing methods often suffer from drift, jitter, or…

cs.CV2026

MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery

Nanjie Yao, Junlong Ren, Wenhao Shen +1

This paper studies full-body 3D human motion recovery from head-mounted device signals. Existing diffusion-based methods often rely on global distribution matching, leading to loca…

cs.CV2026

MultiGO++: Monocular 3D Clothed Human Reconstruction via Geometry-Texture Collaboration

Nanjie Yao, Gangjian Zhang, Wenhao Shen +3

Monocular 3D clothed human reconstruction aims to generate a complete and realistic textured 3D avatar from a single image. Existing methods are commonly trained under multi-view s…