Alternatives and similar repositories for vincent-genai-course

Users that are interested in vincent-genai-course are comparing it to the libraries listed below

• magic-research / vector_quantization
  [NeurIPS 2024] Image Understanding Makes for A Good Tokenizer for Image Generation
  ☆20Updated 10 months ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆103Updated last year
• zijieli-Jlee / Dual-Diffusion
  Code for D-DiT
  ☆50Updated 7 months ago
• huaishengzhu / DSPO
  ☆32Updated 6 months ago
• YWolfeee / Training-Free-Guidance
  Code for TFG: Unified Training-Free Guidance for Diffusion Models
  ☆67Updated last week
• OliverRensu / FlowAR
  “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…
  ☆157Updated 6 months ago
• fudoki-hku / FUDOKI
  The author's implementation of FUDOKI, a multimodal large language model purely based on discrete flow matching.
  ☆62Updated last month
• lxa9867 / ControlVAR
  This is the official implementation for ControlVAR.
  ☆122Updated 11 months ago
• xie-lab-ml / awesome-alignment-of-diffusion-models
  The collection of awesome papers on alignment of diffusion models.
  ☆361Updated last week
• tzco / Diffusion-wo-CFG
  Official Implementation for Diffusion Models Without Classifier-free Guidance
  ☆158Updated 8 months ago
• NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
  ☆88Updated 7 months ago
• xie-lab-ml / Zigzag-Diffusion-Sampling
  [ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectio…
  ☆94Updated 8 months ago
• maxin-cn / Awesome-Autoregressive-Visual-Generation-Models
  a collection of awesome autoregressive visual generation models
  ☆78Updated 6 months ago
• forever208 / DCTdiff
  [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'
  ☆66Updated 3 months ago
• Martinser / REG
  [NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
  ☆178Updated last month
• PKU-YuanGroup / WISE
  WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
  ☆159Updated last month
• YuqingWang1029 / TokenBridge
  [ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/To…
  ☆146Updated 3 months ago
• CompVis / discrete-interpolants
  The official implementation of "[MASK] is All You Need"
  ☆125Updated 3 months ago
• byeongjun-park / DTR
  [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"
  ☆24Updated last year
• NVlabs / HMAR
  [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
  ☆56Updated 4 months ago
• Gen-Verse / HermesFlow
  [NeurIPS 2025] HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
  ☆71Updated last month
• vvvvvjdy / SRA
  (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
  ☆92Updated 3 months ago
• zhuyu-cs / MeanFlow
  Pytorch implementation of MeanFlow on ImageNet and CIFAR10
  ☆331Updated 2 months ago
• FoundationVision / BitVAE
  official training and inference code of bitwise tokenizer
  ☆51Updated 5 months ago
• Hhhhhhao / continuous_tokenizer
  ☆281Updated 5 months ago
• zelaki / eqvae
  [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
  ☆158Updated 4 months ago
• hywang66 / LARP
  Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).
  ☆94Updated 8 months ago
• mingyuanzhou / SiD
  PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)
  ☆142Updated 7 months ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• sangyun884 / rfpp
  The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024
  ☆124Updated last year