The 3rd Workshop on AI for Content Generation, Quality Enhancement and Streaming
PairFlow: Efficient Flow Matching for Paired Image-to-Image Translation with Perceptual and Structural Fidelity-
[pdf]
[bibtex]@InProceedings{Mahara_2026_CVPR, author = {Mahara, Arpan and Rishe, Naphtali}, title = {PairFlow: Efficient Flow Matching for Paired Image-to-Image Translation with Perceptual and Structural Fidelity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9030-9039} }
On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors-
[pdf]
[supp]
[bibtex]@InProceedings{Vaisman_2026_CVPR, author = {Vaisman, Amit and Kesten-Pomeranz, Gal and Lapid, Raz}, title = {On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9060-9068} }
CurveFlow: Curvature-Guided Flow Matching for Image Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2026_CVPR, author = {Luo, Yan and Du, Drake and Huang, Hao and Fang, Yi and Wang, Mengyu}, title = {CurveFlow: Curvature-Guided Flow Matching for Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9020-9029} }
Mix-QSAM3: Mixed-Precision Quantization for the Segment Anything with Concepts Model-
[pdf]
[bibtex]@InProceedings{Ranjan_2026_CVPR, author = {Ranjan, Navin and Savakis, Andreas}, title = {Mix-QSAM3: Mixed-Precision Quantization for the Segment Anything with Concepts Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9050-9059} }
Visual-Textual Prompt Tuning for Unsupervised Multi-Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Prithula_2026_CVPR, author = {Prithula, Johayra and Savakis, Andreas}, title = {Visual-Textual Prompt Tuning for Unsupervised Multi-Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9040-9049} }
Re-Anime600: A Curated Benchmark Dataset for Anime Video Quality Assessment and Super-Resolution Evaluation-
[pdf]
[bibtex]@InProceedings{Fargetta_2026_CVPR, author = {Fargetta, Georgia and Conde, Marcos V. and Tanke, Julian and Timofte, Radu and Battiato, Sebastiano}, title = {Re-Anime600: A Curated Benchmark Dataset for Anime Video Quality Assessment and Super-Resolution Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9005-9010} }
Structural-Guided Multi-Expert Diffusion with Frequency Regularization for Archival Video Deblurring-
[pdf]
[bibtex]@InProceedings{Bera_2026_CVPR, author = {Bera, Sutanu and Su, Gaun-Ming}, title = {Structural-Guided Multi-Expert Diffusion with Frequency Regularization for Archival Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {8996-9004} }
Efficient Conversion of 3D PBR Meshes to a Relightable Triplane-Based 3D Gaussian Splatting Representation for Transmission-
[pdf]
[bibtex]@InProceedings{Lee_2026_CVPR, author = {Lee, Dae Yeol and Rai, Anshul and Kathariya, Birendra and Su, Guan-Ming}, title = {Efficient Conversion of 3D PBR Meshes to a Relightable Triplane-Based 3D Gaussian Splatting Representation for Transmission}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {9011-9019} }