PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
A SOTA open-source image editing model, which aims to provide comparable performance against the closed-source models like GPT-4o and Gemini 2 Flash.
Deep Modular Co-Attention Networks for Visual Question Answering
FiLM: Visual Reasoning with a General Conditioning Layer
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
β¨β¨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
Thinking with Videos from Open-Source Priors. We reproduce chain-of-frames visual reasoning by fine-tuning open-source video models. Give it a star π if you find it useful.
πReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculumβcold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learningβto achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Official code for NeurIPS 2025 paper "GRIT: Teaching MLLMs to Think with Images"
[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning
[NeurIPS 2024] Official code repository for MSR3D paper
[ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Image captioning using python and BLIP
WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
[arxiv 2025] RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
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