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cs.CV2026

HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement

Yiyang Cai, Nan Chen, Rongchang Xie +8

Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most app…

cs.CV2026

DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation

Nan Chen, Yiyang Cai, Rongchang Xie +7

Open domain subject-driven text-to-video (S2V) generation has drawn significant interest in academia and industry. Open domain S2V mainly involves two scenarios: in-domain, which r…

cs.CV2025

MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation

Weinan Jia, Yuning Lu, Mengqi Huang +6

Long video generation with Diffusion Transformers (DiTs) is bottlenecked by the quadratic scaling of full attention with sequence length. Since attention is highly redundant, outpu…

cs.CV2025

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory

Nan Chen, Mengqi Huang, Yihao Meng +1

Animation colorization is a crucial part of real animation industry production. Long animation colorization has high labor costs. Therefore, automated long animation colorization b…

cs.CV2025

HDGlyph: A Hierarchical Disentangled Glyph-Based Framework for Long-Tail Text Rendering in Diffusion Models

Shuhan Zhuang, Mengqi Huang, Fengyi Fu +3

Visual text rendering, which aims to accurately integrate specified textual content within generated images, is critical for various applications such as commercial design. Despite…

cs.CV2025

DiT: Dynamic Diffusion Transformer for Accurate Image Generation

Weinan Jia, Mengqi Huang, Nan Chen +2

Diffusion models are widely recognized for their ability to generate high-fidelity images. Despite the excellent performance and scalability of the Diffusion Transformer (DiT) arch…