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Computer Vision - ECCV 2022 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVI

Title
Computer Vision - ECCV 2022 [electronic resource] : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVI / edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
ISBN
9783031197871
Edition
1st ed. 2022.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
Physical Description
1 online resource (LVI, 757 p.) 352 illus., 349 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23-27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 27, 2022
Series
Lecture Notes in Computer Science, 13676
Lecture Notes in Computer Science, 13676
Contents
StyleGAN-Human.A Data-Centric Odyssey of Human Generation
ColorFormer. Image Colorization via Color Memory Assisted Hybrid-Attention Transformer
EAGAN. Efficient Two-Stage Evolutionary Architecture Search for GANs
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Auto-Regressive Image Synthesis with Integrated Quantization
JoJoGAN. One Shot Face Stylization
VecGAN: Image-to-Image Translation with Interpretable Latent Directions
Any-Resolution Training for High-Resolution Image Synthesis
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
Bi-Level Feature Alignment for Versatile Image Translation and Manipulation
High-Fidelity Image Inpainting with GAN Inversion
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels
Video Extrapolation in Space and Time
Contrastive Learning for Diverse Disentangled Foreground Generation
BIPS.Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning
Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos
Geometry-Aware Single-Image Full-Body Human Relighting
3D-Aware Indoor Scene Synthesis with Depth Priors
Deep Portrait Delighting
Vector Quantized Image-to-Image Translation
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis
Free-Viewpoint RGB-D Human Performance Capture and Rendering
Multiview Regenerative Morphing with Dual Flows
Hallucinating Pose-Compatible Scenes
Motion and Appearance Adaptation for Cross-Domain Motion Transfer
Layered Controllable Video Generation
Custom Structure Preservation in Face Aging
Spatio-Temporal Deformable Attention Network for Video Deblurring
NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing
NeRF for Outdoor Scene Relighting
CoGS: Controllable Generation and Search from Sketch and Style
HairNet: Hairstyle Transfer with Pose Changes
Unbiased Multi-Modality Guidance for Image Inpainting
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents
Motion Transformer for Unsupervised Image Animation
NUWA: Visual Synthesis Pre-training for Neural visUal World creAtion
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer.
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