Description

Book Synopsis

Diffusion-based Light Field Synthesis.- Diffusion-Promoted HDR Video Reconstruction.- Lightweight Deep Learning Model for Defective Pixel Detection and Recovery from the Image Sensors.- IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.- Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.- MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance.- RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content.- Detecting Forged Sentinel-2 Images Through Parallax-Based Cloud Analysis.- PRISM: Progressive Restoration for Scene Graph-based Image Manipulation.- DAVIDE: Depth-Aware Video Deblurring.- RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification.- Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model.- Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications.- QSD: Query-Selection Denoising score for Image Edit-ing in Latent Diffusion Model.- PDB Unet: A spatio temporal video Fixed Pattern Noise removal network.- Reversible and Cascaded Lightweight Colour Constancy: Jointly Addressing Illumination Correction and White Balance.- Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising.- Solving Inverse Problem With Unspecified Forward Operator Using Diffusion Models.- A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment.- LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model.- Pushing Joint Image Denoising and Classification to the Edge.- Self-Supervised HDR Imaging from Motion and Exposure Cues.- Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation.- Edge-aware Consistent Stereo Video Depth Estimation.- Low-Cost Stereoscopic Optical-Coding Design for Depth Estimation Using End-to-End Optimization.- 360U-Former: HDR Illumination Estimation with Panoramic Adapted Vision Transformers.- Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation.- UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment.

Computer Vision ECCV 2024 Workshops

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    A Paperback by Alessio Del Bue

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      View other formats and editions of Computer Vision ECCV 2024 Workshops by Alessio Del Bue

      Publisher: Springer
      Publication Date: 6/8/2025
      ISBN13: 9783031918377, 978-3031918377
      ISBN10: 3031918371

      Description

      Book Synopsis

      Diffusion-based Light Field Synthesis.- Diffusion-Promoted HDR Video Reconstruction.- Lightweight Deep Learning Model for Defective Pixel Detection and Recovery from the Image Sensors.- IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.- Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models.- MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance.- RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content.- Detecting Forged Sentinel-2 Images Through Parallax-Based Cloud Analysis.- PRISM: Progressive Restoration for Scene Graph-based Image Manipulation.- DAVIDE: Depth-Aware Video Deblurring.- RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification.- Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model.- Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications.- QSD: Query-Selection Denoising score for Image Edit-ing in Latent Diffusion Model.- PDB Unet: A spatio temporal video Fixed Pattern Noise removal network.- Reversible and Cascaded Lightweight Colour Constancy: Jointly Addressing Illumination Correction and White Balance.- Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising.- Solving Inverse Problem With Unspecified Forward Operator Using Diffusion Models.- A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment.- LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model.- Pushing Joint Image Denoising and Classification to the Edge.- Self-Supervised HDR Imaging from Motion and Exposure Cues.- Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation.- Edge-aware Consistent Stereo Video Depth Estimation.- Low-Cost Stereoscopic Optical-Coding Design for Depth Estimation Using End-to-End Optimization.- 360U-Former: HDR Illumination Estimation with Panoramic Adapted Vision Transformers.- Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation.- UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment.

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