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

visual-generation 开源项目推荐(19 个)
visual-generation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 19
GitHub 共 19 个仓库,已全部展示[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
Evidence-aware visual prompt compiler and experimentation lab for GPT Image 2, with historical/cultural reasoning, reference-role control, prompt decomposition, ablation testing, and visual benchmarks.
Background for AI security work: visual generative models and 3D spatial construction, plus a tutorial outline. Licence: CC BY-NC-SA 4.0
AI Image-To-Video Generator is a generative media application designed to transform static images into dynamic video clips using neural network algorithms. Content creators and digital artists utilize this software to animate still artwork, simulate realistic camera movements, and produce short motion graphics automatically.
(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
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 19 个项目;原始页面见 https://github.com/topics/visual-generation。
- 该话题在 GitHub 上共有 19 个仓库, 本站收录的是其中最热门的 19 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 19 个项目累计 2442 Star,覆盖 5 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。