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20242026
most citedDEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

3 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation

Xu Guo, Fulong Ye, Qichao Sun +7

Recent advancements in foundation models have revolutionized joint audio-video generation. However, existing approaches typically treat human-centric tasks including reference-base…

cs.CV2025

DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation

Jiawei Liu, Junqiao Li, Jiangfan Deng +11

The "one-shot" technique represents a distinct and sophisticated aesthetic in filmmaking. However, its practical realization is often hindered by prohibitive costs and complex real…

cs.CV2025

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning

Liyang Chen, Tianxiang Ma, Jiawei Liu +7

Human-Centric Video Generation (HCVG) methods seek to synthesize human videos from multimodal inputs, including text, image, and audio. Existing methods struggle to effectively coo…

cs.CV2025

HUMOF: Human Motion Forecasting in Interactive Social Scenes

Caiyi Sun, Yujing Sun, Xiao Han +5

Complex scenes present significant challenges for predicting human behaviour due to the abundance of interaction information, such as human-human and humanenvironment interactions.…

cs.CV2025

MaskDiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation

Tianhao Qi, Jianlong Yuan, Wanquan Feng +6

Sora has unveiled the immense potential of the Diffusion Transformer (DiT) architecture in single-scene video generation. However, the more challenging task of multi-scene video ge…

cs.CV2025

Phantom: Subject-consistent video generation via cross-modal alignment

Lijie Liu, Tianxiang Ma, Bingchuan Li +6

The continuous development of foundational models for video generation is evolving into various applications, with subject-consistent video generation still in the exploratory stag…