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20242026
most citedWMAdapter: Adding WaterMark Control to Latent Diffusion Models

1 citations · 2 across the 22 of their papers we have counts for

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cs.AI2026

Figures as Programs: Recursive Generation of Editable Scientific Figures

Yepeng Liu, Dasen Dai, Chengzhi Liu +7

Scientific methodology figures are essential for communicating complex methods clearly, yet creating them remains labor-intensive and typically requires multiple rounds of refineme…

cs.CV2026

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models

Jiazheng Xing, Hangjie Yuan, Lingling Cai +9

Connector-based video unified models have demonstrated strong capability in instruction-grounded video synthesis, but integrating a large high-fidelity generator into the unified t…

cs.RO2026

ActionMap: Robot Policy Learning via Voxel Action Heatmap

Pei Yang, Hai Ci, Yanzhe Chen +3

Vision-language-action (VLA) models have advanced rapidly across backbones, training recipes, and data scale, yet the action decoder, which converts the backbone's hidden state int…

cs.CV2026

UENR-600K: A Large-Scale Physically Grounded Dataset for Nighttime Video Deraining

Pei Yang, Hai Ci, Beibei Lin +2

Nighttime video deraining is uniquely challenging because raindrops interact with artificial lighting. Unlike daytime white rain, nighttime rain takes on various colors and appears…

cs.CV2026

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

Jiazheng Xing, Fei Du, Hangjie Yuan +7

Recent advances in diffusion models have significantly improved text-to-video generation, enabling personalized content creation with fine-grained control over both foreground and…

cs.RO2026

World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy

Xiaokang Liu, Zechen Bai, Hai Ci +2

Reinforcement learning (RL) can refine Vision-Language-Action (VLA) policies beyond behavior cloning, but real-world RL remains expensive due to extensive rollouts, resets, supervi…