arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

图像生成

图像生成、文生图、图像编辑、扩散模型和可控生成。

共收录 4216 信号源:cs.CV, cs.GR, cs.MM

1. 可控生成 4216 篇

1905.05882 2019-05-16 cs.LG cs.CV stat.ML 57%

Kernel Mean Matching for Content Addressability of GANs

Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal, Amit Raj, James Hays, Bernhard Schölkopf

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Wittawat Jitkrittum and Patsorn Sangkloy contributed equally to this work

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1904.13358 2019-05-15 cs.CV cs.LG eess.IV 57%

Structured Prediction using cGANs with Fusion Discriminator

Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan Yuille

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

Comments 13 pages, 5 figures, 3 tables

Journal ref Workshop on Deep Generative Models for Structured Prediction at ICLR 2019

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1809.03658 2019-05-13 cs.CV 57%

Neural Rendering and Reenactment of Human Actor Videos

Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, Christian Theobalt

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

Comments ACM ToG paper. Project page: http://gvv.mpi-inf.mpg.de/projects/wxu/HumanReenactment/

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1904.09348 2019-04-23 cs.CV 57%

Compact Scene Graphs for Layout Composition and Patch Retrieval

Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments To appear in CVPRW 2019 (CEFRL)

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1904.08542 2019-04-19 cs.CV cs.IR stat.ML 57%

Generative Model for Zero-Shot Sketch-Based Image Retrieval

Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Accepted at CVPR-Workshop 2019

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1904.05457 2019-04-12 cs.CV 57%

Instance Segmentation based Semantic Matting for Compositing Applications

Guanqing Hu, James J. Clark

专题命中 可控生成 :image editing(abstract);分类 cs.CV

Comments 16th Conference on Computer and Robot Vision (CRV 2019)

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1812.02781 2019-04-11 cs.CV 57%

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape

Fabian Manhardt, Wadim Kehl, Adrien Gaidon

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

Comments CVPR 2019

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1904.04144 2019-04-09 cs.CV 57%

Learning monocular depth estimation infusing traditional stereo knowledge

Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

Comments accepted at CVPR 2019. Code available at https://github.com/fabiotosi92/monoResMatch-Tensorflow

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1904.02675 2019-04-05 cs.CV eess.IV 57%

UU-Nets Connecting Discriminator and Generator for Image to Image Translation

Wu Jionghao

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

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1706.09138 2019-04-04 cs.CV 57%

Perceptual Adversarial Networks for Image-to-Image Transformation

Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

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1903.11532 2019-03-28 cs.CV 57%

Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery

Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

Comments Accepted to CVPR 2019. Dataset (and provided link) will be made available before the CVPR

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1808.03082 2019-03-18 cs.CV 57%

Paired 3D Model Generation with Conditional Generative Adversarial Networks

Cihan Öngün, Alptekin Temizel

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Published in ECCV 2018 Workshops, Springer, LNCS. Cite this paper as: Ongun C., Temizel A. (2019) Paired 3D Model Generation with Conditional Generative Adversarial Networks. In: Leal-Taixe L., Roth S. (eds) Computer Vision-ECCV 2018 Workshops. ECCV 2018. Lecture Notes in Computer Science, vol 11129. Springer, Cham

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1903.04480 2019-03-12 cs.CV 57%

Video Generation from Single Semantic Label Map

Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Paper accepted at CVPR 2019. Source code and models available at https://github.com/junting/seg2vid/tree/master

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1902.06838 2019-02-20 cs.CV 57%

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

Youngjoo Jo, Jongyoul Park

专题命中 可控生成 :image editing(abstract);分类 cs.CV

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1902.06258 2019-02-19 cs.CV 57%

Fully-Featured Attribute Transfer

De Xie, Muli Yang, Cheng Deng, Wei Liu, Dacheng Tao

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments 9 pages, 8 figures

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1902.03565 2019-02-12 cs.CV 57%

Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition

Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

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1901.00686 2019-01-04 cs.CV cs.LG cs.NE 57%

Generating Multiple Objects at Spatially Distinct Locations

Tobias Hinz, Stefan Heinrich, Stefan Wermter

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Published at ICLR 2019

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1811.04645 2018-12-13 cs.CV 57%

Hallucinating very low-resolution and obscured face images

Lianping Yang, Bin Shao, Ting Sun, Song Ding, Xiangde Zhang

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

Comments 20 pages, Submitted to Pattern Recognition Letters

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1812.02350 2018-12-10 cs.CV 57%

Context-Aware Synthesis and Placement of Object Instances

Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz

专题命中 可控生成 :image editing(abstract);分类 cs.CV

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1809.07677 2018-09-21 cs.CV 57%

Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements

Shreyas S. Shivakumar, Kartik Mohta, Bernd Pfrommer, Vijay Kumar, Camillo J. Taylor

专题命中 可控生成 :diffusion(abstract);分类 cs.CV

Comments 7 pages, 5 figures, 2 tables

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1809.07238 2018-09-20 cs.CV 57%

Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks

Sumant Sharma, Connor Beierle, Simone D'Amico

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

Comments Presented at the 2018 IEEE Aerospace Conference, Big Sky, MT

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1612.04647 2018-09-07 cs.CV 57%

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments 3DV 2018 (oral)

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1711.10683 2018-09-05 cs.CV 57%

Patch Correspondences for Interpreting Pixel-level CNNs

Victor Fragoso, Chunhui Liu, Aayush Bansal, Deva Ramanan

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

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1807.10596 2018-08-15 cs.CV cs.RO 57%

Generic Camera Attribute Control using Bayesian Optimization

Joowan Kim, Younggun Cho, Ayoung Kim

专题命中 可控生成 :image synthesis(abstract);分类 cs.CV

Comments 8 pages, 11 figures, conference

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1807.10550 2018-07-30 cs.CV 57%

X2Face: A network for controlling face generation by using images, audio, and pose codes

Olivia Wiles, A. Sophia Koepke, Andrew Zisserman

专题命中 可控生成 :image editing(abstract);分类 cs.CV

Comments To appear in ECCV 2018. Accompanying video: http://www.robots.ox.ac.uk/~vgg/research/unsup_learn_watch_faces/x2face.html

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1807.07696 2018-07-23 cs.CV 57%

Automatic Semantic Content Removal by Learning to Neglect

Siyang Qin, Jiahui Wei, Roberto Manduchi

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

Comments Accepted to BMVC 2018 as an oral presentation

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1806.03968 2018-06-12 cs.CV cs.LG 57%

CapsGAN: Using Dynamic Routing for Generative Adversarial Networks

Raeid Saqur, Sal Vivona

专题命中 可控生成 :image generation(abstract);分类 cs.CV

Comments Draft Submission

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1805.07277 2018-05-21 cs.CV 57%

XOGAN: One-to-Many Unsupervised Image-to-Image Translation

Yongqi Zhang

专题命中 可控生成 :image generation(abstract);分类 cs.CV

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1803.09219 2018-05-14 cs.MM cs.CR 57%

Digital Cardan Grille: A Modern Approach for Information Hiding

Jia Liu, Tanping Zhou, Zhuo Zhang, Yan Ke, Yu Lei, Minqing Zhang, Xiaoyuan Yang

专题命中 可控生成 :inpainting(abstract);分类 cs.MM

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1803.09326 2018-05-03 cs.CV 57%

Deep Depth Completion of a Single RGB-D Image

Yinda Zhang, Thomas Funkhouser

专题命中 可控生成 :inpainting(abstract);分类 cs.CV

Comments Accepted by CVPR2018 (Spotlight). Project webpage: http://deepcompletion.cs.princeton.edu/ This version includes supplementary materials which provide more implementation details, quantitative evaluation, and qualitative results. Due to file size limit, please check project website for high-res paper

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