Alternatives and similar repositories for revision

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

• linzhiqiu / visual_gpt_score
  VisualGPTScore for visio-linguistic reasoning
  ☆27Updated 2 years ago
• zeyofu / Commonsense-T2I
  Code for Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? [COLM 2024]
  ☆23Updated last year
• chenshuang-zhang / imagenet_d
  [CVPR 2024 Highlight] ImageNet-D
  ☆44Updated last year
• SivanDoveh / IPLoc
  Repository for the paper: Teaching VLMs to Localize Specific Objects from In-context Examples
  ☆29Updated 10 months ago
• aimagelab / HySAC
  Hyperbolic Safety-Aware Vision-Language Models. CVPR 2025
  ☆25Updated 6 months ago
• McGill-NLP / diffusion-itm
  Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"
  ☆33Updated last year
• TAU-VAILab / hierarcaps
  Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)
  ☆31Updated last year
• Jiahao000 / VICT
  [CVPR 2025] Test-Time Visual In-Context Tuning
  ☆25Updated 6 months ago
• sterzhang / PVIT
  Official Repository of Personalized Visual Instruct Tuning
  ☆32Updated 7 months ago
• eric-ai-lab / MMWorld
  Official repo of the ICLR 2025 paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"
  ☆29Updated 3 months ago
• callsys / ControlCap
  [ECCV 2024] ControlCap: Controllable Region-level Captioning
  ☆79Updated 11 months ago
• wjpoom / SPEC
  [CVPR 2024] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
  ☆49Updated 4 months ago
• rui-qian / READ
  Rui Qian, Xin Yin, Dejing Dou†: Reasoning to Attend: Try to Understand How <SEG> Token Works (CVPR 2025)
  ☆44Updated this week
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆44Updated 10 months ago
• yunlong10 / CAT-V
  Offical repo for CAT-V - Caption Anything in Video: Object-centric Dense Video Captioning with Spatiotemporal Multimodal Prompting
  ☆55Updated 3 months ago
• cocoshe / I2EBench
  [NeurIPS'24] I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
  ☆26Updated 2 months ago
• see-say-segment / sesame
  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"
  ☆44Updated last year
• vl-illusion / GVIL
  Code and data for EMNLP 2023 paper "Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?"
  ☆14Updated last year
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆44Updated 10 months ago
• QUVA-Lab / PIN
  Official code repo of PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
  ☆26Updated 9 months ago
• penghao-wu / visual_jigsaw
  ☆49Updated 2 weeks ago
• ytaek-oh / vl_compo
  ☆10Updated last year
• kaist-ami / BEAF
  [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"
  ☆20Updated 6 months ago
• jaehong31 / SAFREE
  [ICLR 2025] SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image and Video Generation
  ☆44Updated 8 months ago
• ExplainableML / DataDream
  [ECCV 2024] Official repository for "DataDream: Few-shot Guided Dataset Generation"
  ☆44Updated last year
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆28Updated 11 months ago
• dhg-wei / TOPA
  (NeurIPS 2024 Spotlight) TOPA: Extend Large Language Models for Video Understanding via Text-Only Pre-Alignment
  ☆31Updated last year
• mc-lan / ClearCLIP
  [ECCV2024] ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
  ☆94Updated 6 months ago
• VincentDENGP / 3D-LR
  Can 3D Vision-Language Models Truly Understand Natural Language?
  ☆21Updated last year
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆100Updated 6 months ago