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20242026
most citedUnified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities

2 citations · 2 across the 8 of their papers we have counts for

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cs.CV2026

Test-Time Scaling for Video Diffusion Models via Diagnosis-Guided Candidate Recycling

Hangzhou He, Lunhao Duan, Shanshan Zhao +4

Recent video diffusion models have achieved remarkable generation quality, but high-fidelity results still largely depend on closed-source systems or costly large-scale infrastruct…

cs.CV2025

Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images

JiaKui Hu, Shanshan Zhao, Qing-Guo Chen +6

This paper presents Omni-View, which extends the unified multimodal understanding and generation to 3D scenes based on multiview images, exploring the principle that "generation fa…

cs.CV2025

Ovis2.5 Technical Report

Shiyin Lu, Yang Li, Yu Xia +39

We present Ovis2.5, a successor to Ovis2 designed for native-resolution visual perception and strong multimodal reasoning. Ovis2.5 integrates a native-resolution vision transformer…

cs.CV2025

Ovis-U1 Technical Report

Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang +9

In this report, we introduce Ovis-U1, a 3-billion-parameter unified model that integrates multimodal understanding, text-to-image generation, and image editing capabilities. Buildi…

cs.CV2025

High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation

Lunhao Duan, Shanshan Zhao, Xingxing Weng +2

This paper investigates indoor point cloud semantic segmentation under scene-level annotation, which is less explored compared to methods relying on sparse point-level labels. In t…

cs.CV2025★ 2 cited

Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities

Shanshan Zhao, Xinjie Zhang, Jintao Guo +9

Recent years have seen remarkable progress in both multimodal understanding models and image generation models. Despite their respective successes, these two domains have evolved i…

cs.CV2025

JointTuner: Appearance-Motion Adaptive Joint Training for Customized Video Generation

Fangda Chen, Shanshan Zhao, Chuanfu Xu +1

Recent advancements in customized video generation have led to significant improvements in the simultaneous adaptation of appearance and motion. Typically, decoupling the appearanc…

cs.CV2024

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation

Lunhao Duan, Shanshan Zhao, Wenjun Yan +7

Recently, text-to-image generation models have achieved remarkable advancements, particularly with diffusion models facilitating high-quality image synthesis from textual descripti…