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cs.CV2026

SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model

Zhennan Chen, Tianxing Shi, Pengcheng Xu +5

VAR has gained widespread popularity due to its next-scale prediction paradigm. However, it faces substantial performance bottlenecks when handling complex scenes with multiple obj…

cs.CV2026

JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation

Yinan Chen, Chuming Lin, Zhennan Chen +12

While instruction-based video editing has seen significant progress, joint audio-visual editing remains constrained by the absence of dedicated datasets and benchmarks. To bridge t…

cs.CV2026

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset

Haojun Chen, Haoyang He, Chengming Xu +11

Text-to-Image (T2I) models have recently seen notable progress around 1K and 2K resolution. With the extreme desire for better visual experience and the rapid development of imagin…

cs.CV2026

L2P: Unlocking Latent Potential for Pixel Generation

Zhennan Chen, Junwei Zhu, Xu Chen +7

Pixel diffusion models have recently regained attention for visual generation. However, training advanced pixel-space models from scratch demands prohibitive computational and data…

cs.CV2026

DiP: Taming Diffusion Models in Pixel Space

Zhennan Chen, Junwei Zhu, Xu Chen +6

Diffusion models face a fundamental trade-off between generation quality and computational efficiency. Latent Diffusion Models (LDMs) offer an efficient solution but suffer from po…

cs.CV2026

Investigating Text Insulation and Attention Mechanisms for Complex Visual Text Generation

Ying Tai, Nikai Du, Rui Xie +5

In this paper, we present TextCrafter, a Complex Visual Text Generation (CVTG) framework inspired by selective visual attention in cognitive science, and introduce the "Text Insula…