MODUS: A Unified Decoder-Only Model for Any-to-Any Multimodal Generation
MODUS unifies any-to-any multimodal generation in a single decoder-only model.
Read the full articleYou might also wanna read

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
arXiv:2607.07907v1 Announce Type: cross Abstract: With the growing adoption of VLMs, DMs, LLMs, and AFMs, these multimodal foundation models
Lumos-Nexus: A Training-Efficient Two-Stage Framework for High-Fidelity Video Generation with Reasoning Capabilities
Connector-based video unified models have demonstrated strong capability in instruction-grounded video synthesis, but integrating a large hi

Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing
arXiv:2607.08497v1 Announce Type: cross Abstract: Recent unified multimodal models show a single architecture can jointly perform vision/lan
LoomVideo: A 5B-Parameter Unified Model for Efficient Video Generation and Editing
Developing unified video generation and editing models capable of interpreting interleaved multimodal inputs is a promising yet challenging
Lumina-DiMOO: Open-Source Multimodal AI Model Using Discrete Diffusion for Cross-Modal Generation
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
MCP and Multimodal AI: How Agents Handle Images, Video, Audio, and Rich Media
A comprehensive guide to multimodal content in MCP — covering ImageContent, AudioContent, EmbeddedResource content types, image generation s

Comments
Sign in to join the conversation.
No comments yet. Be the first.