Alternatives and similar repositories for awesome-video-generation

Users that are interested in awesome-video-generation are comparing it to the libraries listed below

• yzhang2016 / video-generation-survey
  A reading list of video generation
  ☆612Updated this week
• AlonzoLeeeooo / awesome-text-to-image-studies
  A collection of awesome text-to-image generation studies.
  ☆650Updated 3 weeks ago
• ChaofanTao / Autoregressive-Models-in-Vision-Survey
  [TMLR 2025🔥] A survey for the autoregressive models in vision.
  ☆683Updated this week
• SiatMMLab / Awesome-Diffusion-Model-Based-Image-Editing-Methods
  Diffusion Model-Based Image Editing: A Survey (TPAMI 2025)
  ☆653Updated last month
• JunyaoHu / common_metrics_on_video_quality
  You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.
  ☆437Updated 7 months ago
• Vchitect / VBench
  [CVPR2024 Highlight] VBench - We Evaluate Video Generation
  ☆1,167Updated last week
• Kobaayyy / Awesome-CVPR2025-ICCV2025-CVPR2024-ECCV2024-AIGC
  A Collection of Papers and Codes for CVPR2025/ICCV2025/CVPR2024/ECCV2024 AIGC
  ☆578Updated last month
• PRIV-Creation / Awesome-Controllable-T2I-Diffusion-Models
  A collection of resources on controllable generation with text-to-image diffusion models.
  ☆1,072Updated 7 months ago
• YingqingHe / Awesome-LLMs-meet-Multimodal-Generation
  🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).
  ☆498Updated 4 months ago
• ziqihuangg / Awesome-Evaluation-of-Visual-Generation
  A list of works on evaluation of visual generation models, including evaluation metrics, models, and systems
  ☆353Updated 3 weeks ago
• mayuelala / Awesome-Controllable-Video-Generation
  [ArXiv 2025] A survey about controllable video generation: This repo is the official awesome of "Controllable video generation: A survey…
  ☆428Updated last week
• showlab / Awesome-Unified-Multimodal-Models
  📖 This is a repository for organizing papers, codes and other resources related to unified multimodal models.
  ☆670Updated 3 weeks ago
• lxa9867 / Awesome-Autoregressive-Visual-Generation
  This is a repo to track the latest autoregressive visual generation papers.
  ☆390Updated 2 months ago
• snap-research / Panda-70M
  [CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
  ☆615Updated 10 months ago
• baaivision / NOVA
  [ICLR 2025] Autoregressive Video Generation without Vector Quantization
  ☆564Updated 2 weeks ago
• FoundationVision / Infinity
  [CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
  ☆1,406Updated 2 months ago
• AIDC-AI / Awesome-Unified-Multimodal-Models
  Awesome Unified Multimodal Models
  ☆597Updated last week
• ChenHsing / Awesome-Video-Diffusion-Models
  [CSUR] A Survey on Video Diffusion Models
  ☆2,181Updated last month
• wangkai930418 / awesome-diffusion-categorized
  collection of diffusion model papers categorized by their subareas
  ☆1,888Updated this week
• cure-lab / PnPInversion
  [ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
  ☆335Updated last year
• XueZeyue / DanceGRPO
  An official implementation of DanceGRPO: Unleashing GRPO on Visual Generation
  ☆602Updated last week
• wooyeolbaek / attention-map-diffusers
  🚀 Cross attention map tools for huggingface/diffusers
  ☆330Updated 7 months ago
• yifan123 / flow_grpo
  An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
  ☆1,171Updated this week
• hustvl / LightningDiT
  [CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
  ☆1,122Updated 2 months ago
• pixeli99 / SVD_Xtend
  Stable Video Diffusion Training Code and Extensions.
  ☆710Updated last year
• TencentARC / SmartEdit
  Official code of SmartEdit [CVPR-2024 Highlight]
  ☆350Updated last year
• bytedance / 1d-tokenizer
  This repo contains the code for 1D tokenizer and generator
  ☆996Updated 5 months ago
• TencentARC / SEED-Voken
  SEED-Voken: A Series of Powerful Visual Tokenizers
  ☆931Updated last month
• sihyun-yu / REPA
  [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
  ☆1,268Updated 5 months ago
• wdrink / SimpleAR
  Pytorch implementation for the paper titled "SimpleAR: Pushing the Frontier of Autoregressive Visual Generation"
  ☆397Updated 2 months ago