[NeurIPS 2025 Oral]Infinity⭐️: Unified Spacetime AutoRegressive Modeling for Visual Generation

[ECCV 2026] Towards Scalable Pre-training of Visual Tokenizers for Generation

[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation

中文图文卡片生成 Skill：一段内容 → 海报级图文组图（小红书 3:4 / 公众号封面）。1 引擎 + 3 视觉语言（静纸 Still Paper / 实证 Signal Proof / 图桥 Bridge Canvas），智能驱动 + 独家影像配方。

[Roadmap] Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Official implementation of "OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes".

Official repository for "Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models", https://arxiv.org/abs/2601.19834

[ICML 2026] Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

Streamlit Web App/Python CLI client for the Napkin AI API that transforms text into professional diagrams, illustrations, and visual content with 15+ built-in styles.

[WIP🚧] 2025 up-to-date list of resources on visual tokenizers (primarily for visual generation). Give it a star 🌟 if you find it useful.

This repository collects research papers on reinforcement learning in generative multimodal models.

Official repository of the paper "FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL"

🔗 Bridging Modal Isolation in Interleaved Thinking: Supervising Modality Transitions via Stepwise Reinforcement

(CVPR 2026) DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation

a powerful, large-scale, multimodal model for Text-to-Image generation.

Générateur visuel de regex + recherche automatique // Visual regex generator + automatic search