Topics / #generative-model

Generative-model projects on GitHub

Generative models like diffusion networks and image animation.

As of , the most-starred Generative-model projects on GitHub are first-order-model (15K stars), Awesome-Diffusion-Models (12.4K stars) and Open-Sora-Plan (12.2K stars). GitHub.Locker tracks 9 Generative-model repositories with 64.6K stars combined. The fastest-growing on October 16 was TRELLIS.2, with +26 stars in a day.

9Projects
64.6KStars in total
+29Stars in a day
Browse in the catalog →github.com/topics/generative-model ↗

Hot right now

Most stars gained in a day · Oct 16

+26

TRELLIS.2

microsoft/TRELLIS.2 · ★ 12.1K

TRELLIS.2 is a 4-billion-parameter 3D generative model for high-fidelity image-to-3D generation, using a novel field-free sparse voxel representation (O-Voxel) to produce assets with complex topology and full PBR materials.

+3

MiniMax-Music3

MiniMax-AI/MiniMax-Music3 · ★ 961

MiniMax Music 3 is a music generation model that creates complete songs up to five minutes long from lyrics and a music description, producing 32 kHz 16-bit stereo WAV audio with coherent structure and expressive vocals.

The all-time top

9 projects · by stars

  1. #1 · AliaksandrSiarohin/first-order-model

    first-order-model

    This is the official source code for the 'First Order Motion Model for Image Animation' paper: it animates a static source image by transferring motion from a driving video, using self-learned keypoints instead of manual annotations.

    15K
  2. #2 · diff-usion/Awesome-Diffusion-Models

    Awesome-Diffusion-Models

    A curated collection of papers and resources on Diffusion Models, covering theory, applications, and related research.

    12.4K
  3. #3 · PKU-YuanGroup/Open-Sora-Plan

    Open-Sora-Plan

    Open-Sora Plan is an open-source community project that aims to reproduce OpenAI's Sora text-to-video model, led by a PKU-affiliated AIGC lab with contributions from Huawei and Pengcheng Lab.

    12.2K
  1. 4

    TRELLIS.2

    12.1Kmicrosoft/TRELLIS.2 · Python

    TRELLIS.2 is a 4-billion-parameter 3D generative model for high-fidelity image-to-3D generation, using a novel field-free sparse voxel representation (O-Voxel) to produce assets with complex topology and full PBR materials.

  2. 5

    denoising-diffusion-pytorch

    10.7Klucidrains/denoising-diffusion-pytorch · Python

    A PyTorch implementation of the Denoising Diffusion Probabilistic Model (DDPM), a generative modeling approach the author positions as a possible rival to GANs.

  3. 6

    MiniMax-Music3

    961MiniMax-AI/MiniMax-Music3

    MiniMax Music 3 is a music generation model that creates complete songs up to five minutes long from lyrics and a music description, producing 32 kHz 16-bit stereo WAV audio with coherent structure and expressive vocals.

  4. 7

    Motus2

    685shengshu-ai/Motus2

    Motus2 is a self-evolving general world model for dexterous robot manipulation. A single model with shared weights acts as a policy, a simulator, and an evaluator, coupling them into a closed decision-and-learning loop so the system can perceive, predict, act, and improve itself.

  5. 8

    Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images

    397OliverDOU776/Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images · Python

    GlucoFlow is research code for probabilistic glucose forecasting: it generates full future trajectories (medians, intervals, event probabilities) in just 1-4 sampling steps using a conditional rectified-flow model, optionally conditioned on meal photos or other side information.

  6. 9

    primitive-operation-painter

    227wonderfulearth/primitive-operation-painter · Python

    An autoregressive image generator that builds pictures as a sequence of primitive drawing operations (background, ellipses, rotated rectangles) instead of pixels, so the drawing process stays inspectable and editable step by step.

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