activity
20212026
most citedVideoCrafter1: Open Diffusion Models for High-Quality Video Generation

37 citations · 143 across the 41 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

7 papers · 2 filters

cs.CV2025

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models

Yi Xin, Siqi Luo, Tianxiang Xu +13

Diffusion Multi-modal Large Language Models (dMLLMs) have recently emerged as a novel architecture unifying image generation and understanding. However, developing effective and ef…

cs.CV2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Yi Xin, Qi Qin, Siqi Luo +29

We introduce Lumina-DiMOO, an open-source foundational model for seamless multi-modal generation and understanding. Lumina-DiMOO sets itself apart from prior unified models by util…

cs.CV2025

MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks

Mingsong Li, Lin Liu, Hongjun Wang +7

Current instruction-based image editing (IBIE) methods struggle with challenging editing tasks, as both editing types and sample counts of existing datasets are limited. Moreover,…

cs.CV2025★ 1 cited

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks

Sun Haoxuan, Hong Yan, Zhan Jiahui +6

The rapid advancement of generative image technology has introduced significant security concerns, particularly in the domain of face generation detection. This paper investigates…

cs.CV2025★ 2 cited

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models

Yikun Ji, Yan Hong, Jiahui Zhan +6

Progress in image generation raises significant public security concerns. We argue that fake image detection should not operate as a "black box". Instead, an ideal approach must en…

cs.CV2025

InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation

Yukang Lin, Yan Hong, Zunnan Xu +10

Recent video generation research has focused heavily on isolated actions, leaving interactive motions-such as hand-face interactions-largely unexamined. These interactions are esse…

cs.CV2025

TextSleuth: Towards Explainable Tampered Text Detection

Chenfan Qu, Jian Liu, Haoxing Chen +4

Recently, tampered text detection has attracted increasing attention due to its essential role in information security. Although existing methods can detect the tampered text regio…