Description

Book Synopsis

AWOL: Analysis WithOut synthesis using Language.- OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework.- M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions.- MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes.- End-to-End Rate-Distortion Optimized 3D Gaussian Representation.- Temporal Residual Jacobians for Rig-free Motion Transfer.- LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping.- Deblurring 3D Gaussian Splatting.- Taming Lookup Tables for Efficient Image Retouching.- DualDn: Dual-domain Denoising via Differentiable ISP.- Quantization-Friendly Winograd Transformations for Convolutional Neural Networks.- A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.- Self-supervised Shape Completion via Involution and Implicit Correspondences.- From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlatio

Computer Vision ECCV 2024

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    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Paperback by Aleš Leonardis

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      View other formats and editions of Computer Vision ECCV 2024 by Aleš Leonardis

      Publisher: Springer
      Publication Date: 11/5/2024
      ISBN13: 9783031736353, 978-3031736353
      ISBN10: 3031736354
      Also in:
      Image processing

      Description

      Book Synopsis

      AWOL: Analysis WithOut synthesis using Language.- OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework.- M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions.- MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes.- End-to-End Rate-Distortion Optimized 3D Gaussian Representation.- Temporal Residual Jacobians for Rig-free Motion Transfer.- LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping.- Deblurring 3D Gaussian Splatting.- Taming Lookup Tables for Efficient Image Retouching.- DualDn: Dual-domain Denoising via Differentiable ISP.- Quantization-Friendly Winograd Transformations for Convolutional Neural Networks.- A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.- Self-supervised Shape Completion via Involution and Implicit Correspondences.- From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlatio

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