a state-of-the-art-level open visual language model | 多模态预训练模型

Official implementation of NeurIPS'24 paper Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

The Scene Language: Representing Scenes with Programs, Words, and Embeddings (arXiv preprint)

Open, decentralised, immersive worlds built on Matrix

Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

【NeurIPS 2024】Dense Connector for MLLMs

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation (ICCV 2023, Oral)

GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)

Official Implementation of weights2weights

[ECCV2024] PartCraft: Crafting Creative Objects by Parts

Code repository for "ZeroShape: Regression-based Zero-shot Shape Reconstruction".

Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)

🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

Official implementation for "pOps: Photo-Inspired Diffusion Operators"

[CVPR 2024] Official implementation of "Adapters Strike Back"

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images (CVPR 2024 Workshop on Harnessing Generative Models for Synthetic Visual Datasets)

[CVPR2024] Official PyTorch implementation of "Contrastive Denoising Score(CDS) for Text-guided Latent Diffusion Image Editing"

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Official implementation of SALAD (ICCV 2023).

[ICLR 2024] Official PyTorch/Diffusers implementation of "Object-aware Inversion and Reassembly for Image Editing"

[CVPR 2024] G3DR: Generative 3D Reconstruction in ImageNet

Official implementation of the paper The Hidden Language of Diffusion Models

Multi-view Diffusion for 3D Generation