Unifying Automatic and Interactive Matting with Pretrained ViTs

Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong +2 more
2/9/2026

No confident code implementation found for this paper. 1 possible match can be shown below.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Effective and Efficient Structural Inference with Reservoir Computing

100% match2026

Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples

99% match2026

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution

99% match2026

Structural Inference with Dynamics Encoding and Partial Correlation Coefficients

98% match1 repo32026

Accelerating Training with Neuron Interaction and Nowcasting Networks

98% match1 repo312026

MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models

98% match2026

Cite this paper

@article{ye2026unifying,
  title  = {Unifying Automatic and Interactive Matting with Pretrained ViTs},
  author = {Zixuan Ye and Wenze Liu and He Guo and Yujia Liang and Chaoyi Hong and Hao Lu and Zhiguo Cao},
  year   = {2026},
  doi    = {10.1109/CVPR52733.2024.02417},
  url    = {https://doi.org/10.1109/CVPR52733.2024.02417},
  journal = {CVPR 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/4c199a8d3590fe14482a449241ff646c8039a025.svg)](https://codeofpaper.com/paper/4c199a8d3590fe14482a449241ff646c8039a025)

Discussion