D

diffusion-models

🔧🔗https://github.com/HKUDS/DiffKG [WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

https://github.com/THUDM/ImageReward [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

🔧🔗https://github.com/deepseek-ai/DreamCraft3D

[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

🔧🔗https://github.com/joanrod/figure-diffusion Generating figures from research papers, using textual captions from the paper.

🔧🔗https://github.com/FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation 🔗arxiv.org/abs/2406.06525