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cs.CV2026

MASS: Multiplayer World Models with Authoritative Shared State

Ziqi Cai, Siqi Yang, Yimu Wang +6

Current video world models struggle in multiplayer environments because they entangle world state with view-dependent visual latents, leading to redundant compute, view inconsisten…

cs.CV2026

MAVIN: Multi-Shot Audio-Visual Generation with Customized Narrative Control

Kaiqi Liu, Yunyao Mao, Ziqi Cai +8

While recent generative models produce high-fidelity videos, they struggle with the complex narrative control required for coherent multi-shot audio-visual generation. Existing met…

cs.CV2026

Video Generation Models Are Inherent Lighting Estimators

Ziqi Cai, Shuchen Weng, Kaiqi Liu +5

Recovering dynamic environment maps from a single in-the-wild video is crucial for photorealistic rendering, yet remains a challenge. Recent video generation models can produce pho…

cs.CV2026

ReContraster: Making Your Posters Stand Out with Regional Contrast

Peixuan Zhang, Zijian Jia, Ziqi Cai +3

Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first trai…

cs.CV2026

Lighting-grounded Video Generation with Renderer-based Agent Reasoning

Ziqi Cai, Taoyu Yang, Zheng Chang +4

Diffusion models have achieved remarkable progress in video generation, but their controllability remains a major limitation. Key scene factors such as layout, lighting, and camera…

cs.CV2024

DreamPolish: Domain Score Distillation With Progressive Geometry Generation

Yean Cheng, Ziqi Cai, Ming Ding +5

We introduce DreamPolish, a text-to-3D generation model that excels in producing refined geometry and high-quality textures. In the geometry construction phase, our approach levera…