Alternatives and similar repositories for dinov2-clip

Users that are interested in dinov2-clip are comparing it to the libraries listed below

• prs-eth / DGInStyle
  [ECCV 2024] DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
  ☆85Updated last year
• PaulCouairon / DiffCut
  [NeurIPS 2024] Official code for DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
  ☆48Updated 11 months ago
• linyq2117 / SAMRefiner
  [ICLR 2025] SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
  ☆76Updated 8 months ago
• YuHengsss / Trident
  [ICCV2025] Harnessing CLIP, DINO and SAM for Open Vocabulary Segmentation
  ☆101Updated last month
• Vibashan / PosSAM
  Official Repo for PosSAM: Panoptic Open-vocabulary Segment Anything
  ☆70Updated last year
• congvvc / LaSagnA
  Project for "LaSagnA: Language-based Segmentation Assistant for Complex Queries".
  ☆62Updated last year
• zwq456 / CLIP-VIS
  [IEEE TCSVT] Official Pytorch Implementation of CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance Segmentation.
  ☆46Updated 11 months ago
• NVlabs / FeatSharp
  ☆41Updated 6 months ago
• linsun449 / iseg.code
  This repo is the official implementation of iSeg: An Iterative Refinement-based Framework for Training-free Segmentation.
  ☆39Updated last year
• Amshaker / MAVOS
  [WACV 2025] Efficient Video Object Segmentation via Modulated Cross-Attention Memory
  ☆59Updated 10 months ago
• ymq2017 / entitysam
  [CVPR'2025] EntitySAM: Segment Everything in Video
  ☆58Updated 5 months ago
• wysoczanska / clip-diy
  Official implementation of the WACV 2024 paper CLIP-DIY
  ☆34Updated 2 years ago
• chenxi52 / CMPF
  Open-Vocabulary Panoptic Segmentation
  ☆27Updated 6 months ago
• PaulCouairon / JAFAR
  [NeurIPS 2025] Official code for JAFAR: Jack up Any Feature at Any Resolution
  ☆211Updated last month
• kevin-ssy / CLIP_as_RNN
  Official Implementation for CVPR 2024 paper: CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
  ☆110Updated last year
• QianWangX / VidSeg_diffusion
  Implementation of Zero-Shot Video Semantic Segmentation [CVPR 2025]
  ☆55Updated 10 months ago
• 343gltysprk / ovow
  ☆34Updated last month
• lucasdegeorge / T2I-ImageNet
  Code for "How far can we go with ImageNet for Text-to-Image generation?" paper
  ☆94Updated last month
• sajjad-sh33 / ViT-P
  The Missing Point in Vision Transformers for Universal Image Segmentation
  ☆56Updated last month
• MengLcool / SEGIC
  [ECCV-24] This is the official implementation of the paper "SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation".
  ☆28Updated last year
• vpulab / ovam
  Code for the paper Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models @ CVPR 2024
  ☆73Updated last year
• SherryXTChen / Instruct-CLIP
  Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning (CVPR 2025)
  ☆32Updated 6 months ago
• fanq15 / Stable-SAM
  ☆71Updated 2 years ago
• 983632847 / SAM-for-Videos
  This repository is for the first survey on SAM & SAM2 for Videos.
  ☆52Updated 8 months ago
• rayleizhu / GLMix
  [NeurIPS 2024] official code release for our paper "Revisiting the Integration of Convolution and Attention for Vision Backbone".
  ☆42Updated 11 months ago
• nickjiang2378 / test-time-registers
  [NeurIPS '25 Spotlight] Official Pytorch implementation of "Vision Transformers Don't Need Trained Registers"
  ☆156Updated 3 months ago
• peterljq / Concept-Lancet
  Concept Lancet: Image Editing with Compositional Representation Transplant (CVPR 2025)
  ☆19Updated 9 months ago
• YouHuang67 / High-Resolution-Segment-Anything
  ☆34Updated last year
• xiaomoguhz / DeCLIP
  [CVPR 2025] DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
  ☆147Updated 6 months ago
• ClaudiaCuttano / SANSA
  [NeurIPS 2025 Spotlight] "SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation."
  ☆170Updated last week