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cs.CV2026

JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion

Yicheng Xiao, Wenxun Dai, Xinran Qin +22

Real-time video editing requires low-latency causal generation with bounded computational resources while preserving source fidelity and long-term temporal consistency. We present…

cs.CV2026

AnchorEdit: Maintaining Temporal Consistency in Multi-turn Image Editing via Causal Memory

Hang Xu, Xiaoxiao Ma, Guohui Zhang +7

Multi-turn image editing is essential for iterative design, yet current models often struggle with identity drift and error accumulation over successive steps. While existing resea…

cs.CV2026

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation

Guohui Zhang, XiaoXiao Ma, Jie Huang +9

Recent advances in joint audio-video generation have been remarkable, yet real-world applications demand strong per-modality fidelity, cross-modal alignment, and fine-grained synch…

cs.CV2026

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation

Tianfei Ren, Zhipeng Yan, Yiming Zhao +13

While text-to-image models have made strong progress in visual fidelity, faithfully realizing complex visual intents remains challenging because many requirements must be tracked a…

cs.CV2025

MaskFocus: Focusing Policy Optimization on Critical Steps for Masked Image Generation

Guohui Zhang, Hu Yu, Xiaoxiao Ma +3

Reinforcement learning (RL) has demonstrated significant potential for post-training language models and autoregressive visual generative models, but adapting RL to masked generati…

cs.CV2025

Highly Efficient Test-Time Scaling for T2I Diffusion Models with Text Embedding Perturbation

Hang Xu, Linjiang Huang, Feng Zhao

Test-time scaling (TTS) aims to achieve better results by increasing random sampling and evaluating samples based on rules and metrics. However, in text-to-image(T2I) diffusion mod…