activity
20242026
most citedLearning Flow Fields in Attention for Controllable Person Image Generation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Rethinking Multi-Image Re-Representation in Multi-Image Understanding

Gengyuan Zhang, Xiao Han, Xinyu Xie +2

Multi-image understanding requires MLLMs not only to recognise the content of individual images, but also to organise visual evidence distributed across them. We study this problem…

cs.CV2026

In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion

Yikai Wang, Xiao Han, Mengmeng Xu +9

Few-step autoregressive video diffusion generates a long video by splitting the video into temporal chunks and generating chunk-by-chunk, each through a short sequence of denoising…

cs.LG2026

Scaling Muon for Diffusion Transformers

Chenghao Li, Xiao Han, Xinxin Huang +22

The matrix-aware optimizer Muon improves large model training by balancing updates across singular directions, yet its scaling behavior and end-to-end efficiency on large Diffusion…

cs.CV2025

Scaling Zero-Shot Reference-to-Video Generation

Zijian Zhou, Shikun Liu, Haozhe Liu +14

Reference-to-video (R2V) generation aims to synthesize videos that align with a text prompt while preserving the subject identity from reference images. However, current R2V method…

cs.CV2025

TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models

Zhiheng Liu, Weiming Ren, Haozhe Liu +22

Unified multimodal models (UMMs) aim to jointly perform multimodal understanding and generation within a single framework. We present TUNA, a native UMM that builds a unified conti…

cs.CV2024★ 1 cited

Learning Flow Fields in Attention for Controllable Person Image Generation

Zijian Zhou, Shikun Liu, Xiao Han +11

Controllable person image generation aims to generate a person image conditioned on reference images, allowing precise control over the person's appearance or pose. However, prior…

cs.CV2024★ 1 cited

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Haozhe Liu, Shikun Liu, Zijian Zhou +12

We introduce MarDini, a new family of video diffusion models that integrate the advantages of masked auto-regression (MAR) into a unified diffusion model (DM) framework. Here, MAR…