Alternatives and similar repositories for LoDa:

Users that are interested in LoDa are comparing it to the libraries listed below

• Q-Future / Q-Ground
  Official codes for "Q-Ground: Image Quality Grounding with Large Multi-modality Models", ACM MM2024 (Oral)
  ☆37Updated 4 months ago
• sunwei925 / UIQA
  Official Code for Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency
  ☆18Updated 5 months ago
• nhshin-mcl / QCN
  [CVPR 2024] Blind Image Quality Assessment Based On Geometric Order Learning
  ☆23Updated 8 months ago
• Q-Future / Compare2Score
  [Neurips 24 Spotlight] Training in Pairs + Inference on Single Image with Anchors
  ☆34Updated last month
• TianheWu / MLLMs-for-IQA
  [ECCV 2024] Official Pytorch Implementation of A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
  ☆78Updated 8 months ago
• zhengchen1999 / Grounding-IQA
  PyTorch code for our paper "Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment"
  ☆39Updated 3 months ago
• RomGai / DP-IQA
  Official code repository for the paper: "DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild"
  ☆18Updated 7 months ago
• csguoh / AdaptIR
  [NeurIPS2024] Tune your restoration model with one 3090 GPU!
  ☆66Updated 2 months ago
• jiquan123 / I2IQA
  PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images
  ☆14Updated 3 months ago
• Kai-Liu001 / Dog-IQA
  PyTorch code for our paper "Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grain Image Quality Assessment"
  ☆22Updated 5 months ago
• wangjiarui153 / AIGCIQA2023
  ☆21Updated last year
• narthchin / DEIQT
  Checkpoints, logs and source code for AAAI-23 paper 'Data-Efficient Image Quality Assessment with Attention-Panel Decoder'
  ☆40Updated 11 months ago
• sunwei925 / StairIQA
  Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
  ☆28Updated last year
• bytetriper / LM4LV
  🔥Official PyTorch implementation for "LM4LV: A Frozen Large Language Model for Low-level Vision Tasks".
  ☆48Updated 9 months ago
• csguoh / ReFIR
  [NeurIPS2024] Overcome hallucination of diffusion restoration models.
  ☆33Updated 2 months ago
• Q-Future / Visual-Question-Answering-for-Video-Quality-Assessment
  Official released code for VQA² series models
  ☆34Updated last month
• zzc-1998 / MLLM-QA-Papers-with-Code
  Collections of papers and code for employing MLLM for quality assessment tasks.
  ☆13Updated 11 months ago
• Q-Future / Co-Instruct
  ④[ECCV 2024 Oral, Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a bench…
  ☆76Updated 5 months ago
• Kaiwen-Zhu / AgenticIR
  [ICLR 2025] An Intelligent Agentic System for Complex Image Restoration Problems
  ☆45Updated last week
• IntMeGroup / UniProcessor
  [ECCV 2024] UniProcessor: A Text-induced Unified Low-level Image Processor
  ☆23Updated 2 months ago
• VQAssessment / Q-Bench
  An archived version of Q-Bench. We will make updates in https://github.com/q-future/Q-Bench in the future.
  ☆11Updated last year
• Hedlen / SAM-IQA
  An effective image quality assessment framework combining Segment Anything (SAM). This is the official implementation of our paper.
  ☆24Updated last year
• VQAssessment / BVQI
  [ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.
  ☆37Updated last year
• DengZeshuai / SRTTA
  ☆32Updated last year
• chaofengc / ITER
  PyTorch codes for "Iterative Token Evaluation and Refinement for Real-World Super-Resolution", AAAI 2024
  ☆56Updated 5 months ago
• lyh-18 / PromptGIP
  Unifying Image Processing as Visual Prompting Question Answering
  ☆19Updated 9 months ago
• VQAssessment / ExplainableVQA
  [ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"
  ☆76Updated 7 months ago
• Luciennnnnnn / DualFormer
  [ICCV 2023] On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
  ☆65Updated last year