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site_name: Video Generation 101
site_description: 视频生成技术手册:原理、任务接口、训练与推理、数据处理和评测
site_author: Xiaodong Cun, GVC Lab, Great Bay University
site_url: https://gvclab.github.io/Video-Generation-101/
repo_url: https://github.com/GVCLab/Video-Generation-101
repo_name: GVCLab/Video-Generation-101
edit_uri: edit/main/
copyright: MIT License · GVC Lab, Great Bay University
# The repository is browsed on GitHub as much as on the site, so the whole repo
# is the docs root. That keeps every existing relative link (docs/x.md,
# ../../assets/y.png) working identically in both places.
docs_dir: .mkdocs-build/docs
site_dir: _site
use_directory_urls: false
not_in_nav: |
sources/*
nav:
- 使用与索引:
- "手册首页": README.md
- "使用说明与章节分工": docs/manual-guide.md
- "视频生成入门": docs/getting-started.md
- "按目标选择阅读路线": docs/reader-guides.md
- 分类索引:
- "任务与条件接口": docs/taxonomy.md
- "模型与系统能力": docs/foundation-model-capabilities.md
- 生成原理:
- "五轴方法总览": docs/generative-models.md
- 表示与骨干:
- "视频表示、Tokenizer 与编码": docs/generative-models/video-tokenizers.md
- "Video DiT 骨干网络": docs/generative-models/video-dit-backbones.md
- 概率分解与状态递推:
- "自回归视频生成": docs/generative-models/autoregressive-generation.md
- "掩码视频生成": docs/generative-models/masked-generation.md
- "递归视频预测": docs/generative-models/recurrent-prediction.md
- 训练目标与生成过程:
- "变分视频生成": docs/generative-models/variational-generation.md
- "视频对抗生成": docs/generative-models/adversarial-generation.md
- "视频扩散模型": docs/generative-models/diffusion-models.md
- "流匹配与一致性模型": docs/generative-models/flow-consistency-models.md
- 训练、推理与系统:
- 训练阶段:
- "视频后训练与对齐": docs/generative-models/video-post-training-alignment.md
- 时间跨度与在线生成:
- "长视频生成": docs/generative-models/long-video-generation.md
- "因果与流式视频生成": docs/generative-models/causal-streaming-generation.md
- 推理预算与执行优化:
- "推理时计算扩展": docs/generative-models/test-time-scaling.md
- "推理优化总览": docs/generative-models/inference-acceleration.md
- "特征缓存": docs/generative-models/inference-acceleration/caching.md
- "生成蒸馏": docs/generative-models/inference-acceleration/distillation.md
- "模型剪枝": docs/generative-models/inference-acceleration/pruning.md
- "模型量化": docs/generative-models/inference-acceleration/quantization.md
- "稀疏计算": docs/generative-models/inference-acceleration/sparsity.md
- "算子、并行与在线服务": docs/generative-models/inference-acceleration/systems.md
- 端到端系统:
- "视频基础模型系统": docs/foundation-models.md
- "智能体视频制作": docs/agentic-video-generation.md
- 任务与应用:
- 创作输入与输出:
- "无条件视频生成": docs/tasks/unconditional-video-generation.md
- "文本到视频生成": docs/tasks/text-to-video.md
- "图像到视频生成": docs/tasks/image-to-video.md
- "联合音视频生成": docs/tasks/native-audio-video-generation.md
- 控制、主体与叙事:
- "可控视频生成": docs/tasks/controllable-video-generation.md
- "个性化视频生成": docs/tasks/personalized-video-generation.md
- "数字人与说话人物生成": docs/tasks/digital-human.md
- "故事与多镜头视频生成": docs/tasks/story-multishot.md
- "多视角与 4D 生成": docs/tasks/multiview-4d-generation.md
- 编辑、恢复与补全:
- "视频编辑与变换": docs/tasks/video-to-video.md
- "视频虚拟试衣": docs/tasks/video-virtual-try-on.md
- "视频修复与超分辨率": docs/tasks/video-restoration.md
- "视频补全": docs/tasks/video-inpainting.md
- "视频帧插值": docs/tasks/frame-interpolation.md
- 预测与交互接口:
- "视频预测": docs/tasks/video-prediction.md
- "动作条件视频预测": docs/tasks/action-conditioned-prediction.md
- "交互式世界生成": docs/tasks/interactive-world-generation.md
- "应用设计与验收": docs/applications.md
- 世界建模、行动与推理:
- 状态表示与动力学:
- "世界模型与规划基础": docs/world-models.md
- "联合嵌入预测架构(JEPA)": docs/jepa.md
- "Coding World Model:可执行状态": docs/coding-world-models.md
- 预测与行动耦合:
- "世界—动作模型(WAM)": docs/world-action-model.md
- 约束与任务求解:
- "视频生成的物理一致性": docs/physical-consistency.md
- "视频生成与视觉推理": docs/video-reasoning.md
- 评测与资源:
- 验证协议:
- "视频生成评测总览": docs/evaluation.md
- "世界模型报告与评测协议": docs/evaluation/world-models.md
- 数据与模型:
- "视频数据集与数据处理": resources/datasets.md
- "开放视频模型的选择与复现": resources/open-models.md
- 教学与文献:
- "技术发展时间索引": docs/timeline.md
- "论文阅读与练习": docs/reading-list.md
- "文献索引": docs/bibliography.md
- "贡献指南": CONTRIBUTING.md
theme:
name: material
language: zh
icon:
repo: fontawesome/brands/github
features:
- navigation.instant
- navigation.tracking
- navigation.top
- navigation.indexes
- navigation.footer
- toc.follow
- search.suggest
- search.highlight
- search.share
- content.code.copy
- content.action.edit
palette:
- media: "(prefers-color-scheme: light)"
scheme: default
primary: indigo
accent: indigo
toggle:
icon: material/weather-night
name: 切换到深色模式
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: indigo
accent: indigo
toggle:
icon: material/weather-sunny
name: 切换到浅色模式
plugins:
- search:
lang:
- zh
- en
markdown_extensions:
- abbr
- admonition
- attr_list
- def_list
- footnotes
- md_in_html
- tables
- toc:
permalink: true
toc_depth: 3
- pymdownx.details
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.arithmatex:
generic: true
- pymdownx.superfences:
custom_fences:
# The chapters write display equations as ```math fences (GitHub style).
- name: math
class: arithmatex
format: !!python/name:scripts.math_fences.format_math
# Material for MkDocs initializes Mermaid diagrams from this class.
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
extra_javascript:
- assets/js/mathjax.js
- https://unpkg.com/mathjax@3/es5/tex-chtml.js
extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/GVCLab
- icon: fontawesome/solid/flask
link: https://gvclab.github.io/