Alternatives and similar repositories for Image-Generation-CoT

Users that are interested in Image-Generation-CoT are comparing it to the libraries listed below

• FoundationVision / Liquid
  Liquid: Language Models are Scalable and Unified Multi-modal Generators
  ☆608Updated 4 months ago
• CaraJ7 / T2I-R1
  Official repository of T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
  ☆377Updated last week
• microsoft / VidTok
  a family of versatile and state-of-the-art video tokenizers.
  ☆408Updated 4 months ago
• PicoTrex / GPT-ImgEval
  GPT-ImgEval: Evaluating GPT-4o’s state-of-the-art image generation capabilities
  ☆286Updated 3 months ago
• showlab / Show-o
  [ICLR 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
  ☆1,635Updated last week
• jiaosiyu1999 / FlexVAR
  ☆115Updated 5 months ago
• rongyaofang / GoT
  Official repository of "GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing"
  ☆272Updated 3 months ago
• Wiselnn570 / VideoRoPE
  [ICML 2025 Oral] An official implementation of VideoRoPE & VideoRoPE++
  ☆176Updated last week
• Tencent-Hunyuan / MixGRPO
  MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
  ☆165Updated this week
• CodeGoat24 / UnifiedReward
  Official implementation of UnifiedReward & UnifiedReward-Think
  ☆493Updated last week
• wdrink / SimpleAR
  Pytorch implementation for the paper titled "SimpleAR: Pushing the Frontier of Autoregressive Visual Generation"
  ☆394Updated last month
• FoundationVision / OmniTokenizer
  [NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.
  ☆306Updated last year
• Oryx-mllm / Oryx
  [ICLR 2025] MLLM for On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
  ☆318Updated last month
• AIDC-AI / Awesome-Unified-Multimodal-Models
  Awesome Unified Multimodal Models
  ☆548Updated last month
• FoundationVision / UniTok
  A Unified Tokenizer for Visual Generation and Understanding
  ☆371Updated last week
• baaivision / NOVA
  [ICLR 2025] Autoregressive Video Generation without Vector Quantization
  ☆556Updated 3 weeks ago
• Alpha-Innovator / OmniCaptioner
  Official Repository of OmniCaptioner
  ☆156Updated 3 months ago
• dvlab-research / VisionThink
  Efficient Reasoning Vision Language Models
  ☆341Updated 2 weeks ago
• lxa9867 / Awesome-Autoregressive-Visual-Generation
  This is a repo to track the latest autoregressive visual generation papers.
  ☆382Updated last month
• dvlab-research / LLMGA
  This project is the official implementation of 'LLMGA: Multimodal Large Language Model based Generation Assistant', ECCV2024 Oral
  ☆397Updated 2 months ago
• yifan123 / flow_grpo
  An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
  ☆1,002Updated last week
• PKU-YuanGroup / ChronoMagic-Bench
  [NeurIPS 2024 D&B Spotlight🔥] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
  ☆206Updated 2 months ago
• linzhiqiu / t2v_metrics
  Evaluating text-to-image/video/3D models with VQAScore
  ☆321Updated 3 months ago
• XueZeyue / DanceGRPO
  An official implementation of DanceGRPO: Unleashing GRPO on Visual Generation
  ☆555Updated this week
• ChaofanTao / Autoregressive-Models-in-Vision-Survey
  [TMLR 2025🔥] A survey for the autoregressive models in vision.
  ☆665Updated last week
• showlab / Awesome-Unified-Multimodal-Models
  📖 This is a repository for organizing papers, codes and other resources related to unified multimodal models.
  ☆646Updated last week
• ByteVisionLab / TokenFlow
  [CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation".
  ☆366Updated this week
• magic-research / Sa2VA
  🔥 Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
  ☆1,212Updated last week
• xiaoachen98 / Open-LLaVA-NeXT
  An open-source implementation for training LLaVA-NeXT.
  ☆413Updated 9 months ago
• mashijie1028 / GenHancer
  (ICCV 2025) Enhance CLIP and MLLM's fine-grained visual representations with generative models.
  ☆68Updated last month