PyTorch code and models for the DINOv2 self-supervised learning method.

Reference PyTorch implementation and models for DINOv3

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

Official code for our CVPR 2025 paper: "Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption"

The code source of MoE-DiffIR

[NeurIPS'24] I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing

[IEEE JSTSP 2025] Using LMM in Real-world Distortion