Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation

1. 1Utilize diffusion models to reconstruct images and enhance visual representations
2. 2Condition image reconstruction on contrastive signals to balance discriminative and detail perceptual abilities
3. 3Fine-tune the visual encoder to improve its understanding capacity and downstream performance
4. 4Evaluate the performance of the proposed approach on benchmark datasets and tasks

Computer vision engineers and researchers can benefit from this approach to enhance image representation and downstream performance in applications like image classification and object detection

💡 Balancing discriminative and detail perceptual abilities is crucial for improving visual representation and downstream performance

🔍 Enhance visual representation in CLIP with diffusion-based reconstruction and contrastive signals!