Generative media
Generative media
- 3D (66)
- audio & music (35)
- avatars (3)
- creative pipelines (93)
- image (104)
- video (26)
- voice & speech (49)
376 resources · page 12 of 12
DDPM
by Jonathan Ho et al. (UC Berkeley)
arXiv paper (2020) "Denoising Diffusion Probabilistic Models", introducing DDPM image generation by learning to reverse a gradual noising process.
DiT (Scalable Diffusion Transformers)
by William Peebles and Saining Xie (UC Berkeley)
arXiv paper (2022) introducing Diffusion Transformers (DiT), scalable diffusion models with transformer backbones.
Essentia
by Music Technology Group (Universitat Pompeu Fabra)
Essentia documentation: open-source library from UPF for audio and music analysis, with ML models.
Flow Matching
by Yaron Lipman et al. (Meta AI)
arXiv paper (2022) "Flow Matching for Generative Modeling", introducing flow matching for training continuous normalising flows.
GANs (Goodfellow)
by Ian J. Goodfellow et al. (Université de Montréal)
arXiv paper (2014) by Goodfellow et al. introducing generative adversarial networks (GANs) and adversarial training.
Gemini image generation got it wrong (postmortem)
by Google
Google post explaining what went wrong with Gemini's image generation of people and the planned fixes.
Hi3D 产品概述
Hi3D API overview in Chinese: Math Magic's 3D generation service that turns 2D images into 3D models.
Hi3D API introduction
Hi3D API introduction: image-to-3D generation API from Math Magic based on its Sparc3D and Ultra3D models.
Krea 2 Technical Report
by Krea
Krea 2 technical report on its open-weight text-to-image foundation models, including architecture and training details.
Latent Diffusion (Stable Diffusion)
by Robin Rombach et al. (LMU Munich and Runway)
arXiv paper (2021) introducing latent diffusion models, the basis of Stable Diffusion.
Meshy API documentation and changelog
by Meshy
Meshy API changelog listing feature updates, model versions and migration notes for its 3D generation API.
NeRF
by Ben Mildenhall et al. (UC Berkeley)
arXiv paper (2020) "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis", introducing neural radiance fields (NeRF) for novel view synthesis.
Nerfstudio documentation
by Nerfstudio team (UC Berkeley)
Nerfstudio documentation: modular framework for creating, training and viewing neural radiance fields (NeRFs).
Rodin Gen-2.5 中文 API specification
Hyper3D Rodin Gen-2.5 API specification in Chinese: request parameters, authentication and responses for 3D asset generation.
Rodin official generation skill library
by Deemos
Deemos rodin3d-skills GitHub repo: official agent skills for Rodin 3D generation.
Sloyd API getting started
by Sloyd
Sloyd API getting-started guide: REST API for generating 3D models from text and images, with create-poll-download examples.
Stability 3D
by Stability AI
Stability AI page on Stable Zero123, a model for generating 3D objects and novel views from a single image.
Tripo developer documentation
by Tripo AI
Tripo developer documentation: API for generating 3D models from text and images, with authentication and task handling.
VAE (Kingma & Welling)
by Diederik P Kingma and Max Welling (University of Amsterdam)
arXiv paper (2013) "Auto-Encoding Variational Bayes", introducing the variational autoencoder (VAE).
VARCO 3D 2.0 release documentation
VARCO 3D 2.0 release notes from NCSOFT describing upgrades to its 3D generation model and benchmark results.
VARCO 3D workflow and MCP guide
VARCO 3D release note on connecting generation, rigging and animation in custom workflows and agent tools.
Whisper paper
by Alec Radford et al. (OpenAI)
arXiv paper (2022) introducing Whisper, speech recognition trained on large-scale weakly supervised audio.
GEMA v OpenAI decision (MediaLaws)
by MediaLaws
MediaLaws analysis of the Munich Regional Court decision in GEMA v. OpenAI on song lyrics and model training.
Hitem3D 2.0: Multi-View Guided Native 3D Texture Generation
arXiv paper (2026) describing Hitem3D 2.0, multi-view guided native 3D texture generation.