NUS-HPC-AI-Lab / Neural-Network-DiffusionLinks
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
☆874Updated 6 months ago
Alternatives and similar repositories for Neural-Network-Diffusion
Users that are interested in Neural-Network-Diffusion are comparing it to the libraries listed below
Sorting:
- [CVPR 2025] The First Investigation of CoT Reasoning (RL, TTS, Reflection) in Image Generation☆772Updated 2 months ago
- PyTorch implementation of RCG https://arxiv.org/abs/2312.03701☆918Updated 10 months ago
- [ICLR 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.☆1,623Updated this week
- PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437☆1,150Updated 5 months ago
- [TMLR 2025🔥] A survey for the autoregressive models in vision.☆660Updated this week
- This repo contains the code for 1D tokenizer and generator☆963Updated 4 months ago
- SEED-Voken: A Series of Powerful Visual Tokenizers☆920Updated last month
- Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)☆574Updated last year
- [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think☆1,224Updated 4 months ago
- A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".☆1,033Updated 2 years ago
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,682Updated 10 months ago
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI☆1,181Updated last month
- Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"☆924Updated last year
- [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)☆337Updated 3 months ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆338Updated 10 months ago
- This is a repo to track the latest autoregressive visual generation papers.☆375Updated last month
- Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation☆1,816Updated 11 months ago
- The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision M…☆497Updated last year
- [NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.☆303Updated last year
- a family of versatile and state-of-the-art video tokenizers.☆406Updated 3 months ago
- Eagle Family: Exploring Model Designs, Data Recipes and Training Strategies for Frontier-Class Multimodal LLMs☆841Updated 3 months ago
- LaVIT: Empower the Large Language Model to Understand and Generate Visual Content☆585Updated 9 months ago
- [Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey☆446Updated 6 months ago
- Implementation of MagViT2 Tokenizer in Pytorch☆619Updated 6 months ago
- Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training☆463Updated last year
- Liquid: Language Models are Scalable and Unified Multi-modal Generators☆607Updated 3 months ago
- An open-source implementation for training LLaVA-NeXT.☆412Updated 9 months ago
- An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL☆958Updated this week
- [Arxiv] Discrete Diffusion in Large Language and Multimodal Models: A Survey☆184Updated 3 weeks ago
- [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for …☆1,351Updated last year