output
20072026
most citedLINE: Large-scale Information Network Embedding

4.8k citations

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172 papers · 1 filter

cs.CV2026

Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI Synthesis

Yejee Shin, Geonhui Son, Jinglu Wang +3

Acquiring a complete set of magnetic resonance imaging (MRI) contrasts is time-intensive and uncomfortable for patients, despite the diagnostic value of multi-contrast imaging. Thi…

cs.CV2026

Human-Level Accuracy, Non-Human Strategies: Revealing Model-Human Divergence in Video Physical Reasoning

Fanhong Li, Shurui Zheng, Zi Yin +3

Video foundation models now reach human-level accuracy on physical-reasoning benchmarks, yet such tasks require predicting unobserved physical outcomes. Do these models perform hum…

cs.CV2026

CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling

Yingrui Wu, Youkang Kong, Mingyang Zhao +3

Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic…

cs.CV2026

ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation

Zihan Yang, Shuyuan Tu, Licheng Zhang +3

Diffusion models have achieved remarkable generation quality, but they suffer from significant inference cost due to their reliance on multiple sequential denoising steps, motivati…

cs.CV2026★ 3 cited

ESGaussianFace: Emotional and Stylized Audio-Driven Facial Animation via 3D Gaussian Splatting

Chuhang Ma, Shuai Tan, Ye Pan +2

Most current audio-driven facial animation research primarily focuses on generating videos with neutral emotions. While some studies have addressed the generation of facial videos…

cs.CV2025★ 1 cited

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization

De Cheng, Zhipeng Xu, Xinyang Jiang +3

Domain Generalization (DG) seeks to develop a versatile model capable of performing effectively on unseen target domains. Notably, recent advances in pre-trained Visual Foundation…