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- Structure-Aware Sparse-View X-Ray 3D Reconstruction122
This paper designs a Line Segment-based Transformer (Lineformer) as the backbone of SAX-NeRF, a framework for sparse-view X-ray 3D reconstruction and presents a Masked Local-Global ray sampling strategy to extract contextual and geometric information in 2D projection.
- SAGA: Stochastic Whole-Body Grasping with Contact118
The effectiveness of the SAGA method is demonstrated, which is a novel generative framework to synthesize realistic and expressive whole-body motions that approach and grasp randomly placed unseen objects.
- NTIRE 2022 Challenge on Perceptual Image Quality Assessment84
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022 to address the emerging challenge of IQA by perceptual image processing algorithms.
- Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China71
The elderly who perceived high infection risk or had trust in governments were more likely to accept the vaccine, and the elderly used fewer sources for COVID-19 vaccination information and more trusted in traditional media and family, relatives, and friends for getting vaccination recommendations.
- Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape68
The proposed Animal3D dataset is the first comprehensive dataset for mammal animal 3D pose and shape estimation and demonstrates that predicting the 3D shape and pose of animals across species remains a very challenging task, despite significant advances in human pose estimation.
- NTIRE 2021 Challenge on Perceptual Image Quality Assessment55
The NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021, achieved much better results than existing IQA methods, while the winning method can demonstrate state-of-the-art performance.
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- Region-Adaptive Deformable Network for Image Quality Assessment36
The referenceoriented deformable convolution is proposed, which can improve the performance of an IQA network on GAN-based distortion by adaptively considering this misalignment and a patch-level attention module to enhance the interaction among different patch regions, which are processed independently in previous patch-based methods.
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- Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation8
This work presents Any2Caption, a novel framework for controllable video generation under any condition that interprets diverse inputs into dense, structured captions that offer backbone video generators with better guidance.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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