Computer vision - ECCV 2022 = 17th E...
European Conference on Computer Vision (2022 :)

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  • Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part XVII /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
    Reminder of title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
    other author: Avidan, Shai.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: lvii, 743 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Editing Out-of-Domain GAN Inversion via Differential Activations -- On the Robustness of Quality Measures for GANs -- Sound-Guided Semantic Video Generation -- Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation -- Controllable Video Generation through Global and Local Motion Dynamics -- StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN -- Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer -- Combining Internal and External Constraints for Unrolling Shutter in Videos -- WISE: Whitebox Image Stylization by Example-Based Learning -- Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination -- Transformers As Meta-Learners for Implicit Neural Representations -- Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment -- High-Resolution Virtual Try-On with Misalignment and OcclusionHandled Conditions -- A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution -- Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis -- AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields -- Improving the Perceptual Quality of 2D Animation Interpolation -- Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask -- Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution -- GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints -- DoodleFormer: Creative Sketch Drawing with Transformers -- Implicit Neural Representations for Variable Length Human Motion Generation -- Learning Object Placement via Dual-Path Graph Completion -- Expanded Adaptive Scaling Normalization for End to End Image Compression -- Generator Knows What Discriminator Should Learn in Unconditional GANs -- Compositional Visual Generation with Composable Diffusion Models -- ManiFest: Manifold Deformation for Few-Shot Image Translation -- ManiFest: Manifold Deformation for Few-Shot Image Translation -- Supervised Attribute Information Removal and Reconstruction for Image Manipulation -- BLT: Bidirectional Layout Transformer for Controllable Layout Generation -- Diverse Generation from a Single Video Made Possible -- Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features -- Bridging the Domain Gap towards Generalization in Automatic Colorization -- Generating Natural Images with Direct Patch Distributions Matching -- Context-Consistent Semantic Image Editing with Style-Preserved Modulation -- Eliminating Gradient Conflict in Reference-Based Line-Art Colorization -- Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations -- JPEG Artifacts Removal via Contrastive Representation Learning -- Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning -- Efficient Long-Range Attention Network for Image Super-Resolution -- FlowFormer: A Transformer Architecture for Optical Flow -- Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction -- Learning Shadow Correspondence for Video Shadow Detection -- Metric Learning Based Interactive Modulation for Real-World Super-Resolution.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-19790-1
    ISBN: 9783031197901
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