Yusuf Dalva

Orcid: 0000-0002-8402-8291

According to our database1, Yusuf Dalva authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers.
CoRR, May, 2025

FluxSpace: Disentangled Semantic Editing in Rectified Flow Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Benchmarking the Robustness of Instance Segmentation Models.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Refining 3D Human Texture Estimation From a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Context Canvas: Enhancing Text-to-Image Diffusion Models with Knowledge Graph-Based RAG.
CoRR, 2024

FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers.
CoRR, 2024

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.
CoRR, 2024

The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP.
CoRR, 2024

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models.
CoRR, 2024

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Face Attribute Editing with Disentangled Latent Vectors.
CoRR, 2023

StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
VecGAN: Image-to-Image Translation with Interpretable Latent Directions.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Benchmarking the Robustness of Instance Segmentation Models.
CoRR, 2021


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