video-generation

A Curated List of Awesome Video World Models with AR Diffusion: Covering Algorithms, Applications, and Infrastructure, Aimed at Serving as a Comprehensive Resource for Researchers, Practitioners, and Enthusiasts.

[ICLR'25] SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

A unified framework for easy fine-tuning in Flow-Matching models

Generative World Renderer: an AI-native Renderer for Games and Virtual Worlds.

A Collection of Papers and Codes for CVPR2026/CVPR2025/ICCV2025/CVPR2024/ECCV2026/ECCV2024 AIGC

Implementation of MagViT2 Tokenizer in Pytorch

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators

[ICCV 2025 & ICCV 2025 RIWM Outstanding Paper] Aether: Geometric-Aware Unified World Modeling

End-to-end AI short-video production pipeline. FastAPI orchestration + Spring Boot gateway with multi-model failover, circuit breaker, metering, and full-stack observability. AI quality gating: prompt anchoring, CLIP consistency, AV sync auto-rescue.

Video Search SDK for Android Kotlin. Integrate in any video app

[CVPR 2026] SpatialVID: A Large-Scale Video Dataset with Spatial Annotations

A curated list of papers on reinforcement learning for video generation

GPT Image 2 to Seedance 2.5 Early Access workflow guide.

Official code, models, and data for Vista4D: Video Reshooting with 4D Point Clouds (CVPR 2026 Highlight)

You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

Open-source AI-powered video sequence platform built with TanStack Start

Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

Free, open-source alternative to Weavy AI, Krea Nodes, Freepik Spaces & FloraFauna AI — node-based AI workflow builder for generative image & video pipelines

Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.

Multi-agent AI pipeline that turns one line of text into a finished short-form drama: script, cinematic storyboards, character-consistent video. Provider-agnostic (OpenAI/Claude, MJ, Minimax, Veo/Sora, fal, ComfyUI). MIT.

Let's finetune video generation models!

[ECCV 2024] FreeInit: Bridging Initialization Gap in Video Diffusion Models

Multi-model DAG-driven parallel AI film generation — parallel speedup scales with scene independence; Generate film scenes simultaneously instead of one by one; "把影视生成的执行图从拓扑序变成关键路径最优调度" ; 唯一把场景叙事依赖建模为 DAG、以 CPM 算法驱动并行调度的影视生成引擎

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file.

[ICCV 2025] Light-A-Video: Training-free Video Relighting via Progressive Light Fusion

Open-Source Creative AI Workspace

Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an acting system, Cinema Studio 2.5/3.0/3.5, MCSLA, Soul ID consistency, Kling 3.0 Motion Control, the DISCIPLINE framework, and 18 templates.