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20182026
most citedL-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

9 citations · 14 across the 20 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.CV2026

PAWA: Panoramic Action-conditioned World Modeling for Multiple Agents

Siqi Yang, Yimu Wang, Ziqi Cai +6

A multiplayer world model must predict how the independent actions of several players change a shared environment, including changes outside a player's current field of view. A poi…

cs.CV2026

SPW-Nav: A Streaming Panoramic World Model for Language-Guided Navigation

Yunheng Liu, Ziqi Cai, Siqi Yang +7

Language-guided panoramic video generation benefits various downstream applications, such as interactive 3D scene exploration, virtual reality experiences, and embodied agent train…

cs.SD2026

StreamAV-Bench: A Comprehensive Benchmark for Streaming Audio-Video Generation

Kaiqi Liu, Haoxuan Zeng, Jingqi Liu +7

Recent advancements in generative models are pushing video generation toward unbounded streaming audio-video generation for real-time interactive worlds. However, existing benchmar…

cs.CV2026

FlowDance: Music-Driven Dance Video Generation with Parallel Pose and RGB Streams

Genying Li, Boda Lin, Jiachen Li +5

Music-driven dance video synthesis aims to animate a reference person according to a given music clip. The task is challenging because it requires a model to jointly learn music-to…

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

InstructAV2AV: Instruction-Guided Audio-Video Joint Editing

Haojie Zheng, Yixin Yang, Siqi Yang +2

Recent diffusion-based methods have achieved impressive progress in video content manipulation. However, they typically ignore the accompanying audio, leaving the audio disjointed…

cs.CV2026

A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilation

Peixuan Zhang, Chang Zhou, Ziyuan Zhang +8

The surging demand for adapting long-form cinematic content into short videos has motivated the need for versatile automatic video compilation systems. However, existing compilatio…

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…