Cover Image

Jodi: Unification of Visual Generation and Understanding via Joint Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Yifeng, He, Zhenliang, Kan, Meina, Shan, Shiguang, Chen, Xilin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JoPano: Unified Panorama Generation via Joint Modeling
by: Feng, Wancheng, et al.
Published: (2025)

CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
by: Xu, Yifeng, et al.
Published: (2024)

Dual Attention Guided Defense Against Malicious Edits
by: Zhang, Jie, et al.
Published: (2025)

Towards Transferable Defense Against Malicious Image Edits
by: Zhang, Jie, et al.
Published: (2025)

Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity
by: Dong, Shuai, et al.
Published: (2025)

OSI: One-step Inversion Excels in Extracting Diffusion Watermarks
by: Chen, Yuwei, et al.
Published: (2026)

Trigger without Trace: Towards Stealthy Backdoor Attack on Text-to-Image Diffusion Models
by: Zhang, Jie, et al.
Published: (2025)

Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating
by: Cao, Xiangkui, et al.
Published: (2026)

UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editing
by: Li, Yiheng, et al.
Published: (2024)

MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models
by: Yan, Bei, et al.
Published: (2024)

Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models
by: Yan, Bei, et al.
Published: (2024)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)

Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation
by: Han, Boyu, et al.
Published: (2026)

Understanding Visual Concepts Across Models
by: Trabucco, Brandon, et al.
Published: (2024)

INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs
by: Yang, Junqi, et al.
Published: (2026)

A Geometric Unification of Concept Learning with Concept Cones
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)

Understanding Implosion in Text-to-Image Generative Models
by: Ding, Wenxin, et al.
Published: (2024)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
by: Cho, Jang Hyun, et al.
Published: (2025)

EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds
by: Chen, Lu, et al.
Published: (2025)

PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
by: Jiang, Zhongyu, et al.
Published: (2025)

HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
by: Tang, Xiaolong, et al.
Published: (2024)

Visual Generation Without Guidance
by: Chen, Huayu, et al.
Published: (2025)

Composition Vision-Language Understanding via Segment and Depth Anything Model
by: Huo, Mingxiao, et al.
Published: (2024)

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
by: Wang, Sibo, et al.
Published: (2024)

VeCLIP: Improving CLIP Training via Visual-enriched Captions
by: Lai, Zhengfeng, et al.
Published: (2023)

Generative Visual Code Mobile World Models
by: Koh, Woosung, et al.
Published: (2026)

Next Visual Granularity Generation
by: Wang, Yikai, et al.
Published: (2025)

Learning Separable Hidden Unit Contributions for Speaker-Adaptive Lip-Reading
by: Luo, Songtao, et al.
Published: (2023)

RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
by: Moshtaghi, Mehdi, et al.
Published: (2025)

VideoNSA: Native Sparse Attention Scales Video Understanding
by: Song, Enxin, et al.
Published: (2025)

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
by: Liu, Ziyu, et al.
Published: (2024)

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation
by: Lin, Huawei, et al.
Published: (2025)

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
by: Rao, Zhefan, et al.
Published: (2024)

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement
by: He, Chunming, et al.
Published: (2025)

OmniPrism: Learning Disentangled Visual Concept for Image Generation
by: Li, Yangyang, et al.
Published: (2024)

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
by: Zou, Bocheng, et al.
Published: (2024)

SafeFix: Targeted Model Repair via Controlled Image Generation
by: Xu, Ouyang, et al.
Published: (2025)

SpectralAR: Spectral Autoregressive Visual Generation
by: Huang, Yuanhui, et al.
Published: (2025)

The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design
by: Liu, Anjie, et al.
Published: (2026)

What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
by: Farid, Karim, et al.
Published: (2025)