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20242026
most citedPSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

2 citations · 2 across the 1 of their papers we have counts for

collaborators

21 papers

cs.CV20262 cited

PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

Peng Li, Wangguandong Zheng, Yuan Liu +9

Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image r…

cs.SD2026

Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound

Liumeng Xue, Ziya Zhou, Jiahao Pan +20

Recent advancements in audio tokenization have significantly enhanced the integration of audio capabilities into large language models (LLMs). However, audio understanding and gene…

cs.CL2026

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection

Pengyu Chen, Yonggang Zhang, Mingming Chen +3

Endowing large language models with compositional reasoning over specialized documents requires multi-hop training data at scale, where such data rarely exists outside of curated b…

cs.AI2026

ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation

Zhiqin Yang, Zhenyuan Zhang, Xianzhang Jia +4

Current AI agent frameworks have made remarkable progress in automating individual tasks, yet all existing systems serve a single user. Human productivity rests on the social and o…

cs.AI2026

MemFly: On-the-Fly Memory Optimization via Information Bottleneck

Zhenyuan Zhang, Xianzhang Jia, Zhiqin Yang +4

Long-term memory enables large language model agents to tackle complex tasks through historical interactions. However, existing frameworks encounter a fundamental dilemma between c…

cs.AI2026

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection

Cooper Lin, Yanting Zhang, Maohao Ran +7

E-commerce platforms and payment solution providers face increasingly sophisticated fraud schemes, ranging from identity theft and account takeovers to complex money laundering ope…