google-research / syn-rep-learnLinks
Learning from synthetic data - code and models
☆318Updated last year
Alternatives and similar repositories for syn-rep-learn
Users that are interested in syn-rep-learn are comparing it to the libraries listed below
Sorting:
- Densely Captioned Images (DCI) dataset repository.☆185Updated 11 months ago
- [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"☆314Updated last year
- When do we not need larger vision models?☆395Updated 4 months ago
- Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)☆120Updated last year
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆215Updated 3 weeks ago
- ☆337Updated last year
- PyTorch Implementation of Object Recognition as Next Token Prediction [CVPR 2024 Highlight]☆180Updated last month
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆426Updated 2 years ago
- An open source implementation of CLIP (With TULIP Support)☆157Updated last month
- Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023☆168Updated last year
- ☆203Updated last year
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆310Updated last year
- [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"☆125Updated 10 months ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆282Updated last year
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆167Updated this week
- Code for Scaling Language-Free Visual Representation Learning (WebSSL)☆246Updated last month
- [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts☆322Updated 11 months ago
- Open source implementation of "Vision Transformers Need Registers"☆180Updated 2 months ago
- Official implementation of 'CLIP-DINOiser: Teaching CLIP a few DINO tricks' paper.☆249Updated 7 months ago
- Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models☆199Updated 5 months ago
- Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.☆193Updated 2 years ago
- Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).☆145Updated last month
- Sparse Linear Concept Embeddings☆102Updated 2 months ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆238Updated last year
- Official code for "TOAST: Transfer Learning via Attention Steering"☆189Updated last year
- My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"☆240Updated 2 months ago
- TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering☆167Updated last year
- (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.☆343Updated 5 months ago
- PyTorch implementation of InstructDiffusion, a unifying and generic framework for aligning computer vision tasks with human instructions.☆428Updated last year
- ☆226Updated last year