collaborators

9 papers

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On

Yong Liu, Xiaolong Fu, Zihang Xu +10

We present Oxygen-TryOn, a unified foundation model for any-item virtual try-on. Rather than repurposing a general-purpose image editor, Oxygen-TryOn is fashion-native, built for t…

cs.CV2026

Perceptual Flow Matching for Few-Step Generative Modeling

Chuyang Zhao, Yifei Song, Hongfa Wang +7

We propose Perceptual Flow Matching (PFM), a simple yet effective framework for few-step generation in flow-matching models. Rather than performing velocity regression in the conve…

cs.LG2026

DiT-Reward: Generative Representations for Text-to-Image Reward Modeling

Yuanming Yang, Guoqing Ma, Bo Wang +5

Can representations learned for image generation also support the evaluation of generated images? We study text-to-image reward prediction as a downstream task of generative repres…

cs.CL2026

TextLDM: Language Modeling with Continuous Latent Diffusion

Jiaxiu Jiang, Jingjing Ren, Wenbo Li +10

Diffusion Transformers (DiT) trained with flow matching in a VAE latent space have unified visual generation across images and videos. A natural next step toward a single architect…

cs.CV2026

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations

Yuan Zhang, Chenyi Li, Guoqing Ma +8

Sampling from pretrained diffusion and flow-matching models typically requires many forward passes to generate diverse and high-fidelity images. Existing distillation methods often…