Kernel Mean Matching for Content Addressability of GANs
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
视觉与机器人
图像生成、文生图、图像编辑、扩散模型和可控生成。
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
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
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/
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments To appear in CVPRW 2019 (CEFRL)
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments Accepted at CVPR-Workshop 2019
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)
专题命中 可控生成 :inpainting(abstract);分类 cs.CV
Comments CVPR 2019
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
专题命中 可控生成 :image synthesis(abstract);分类 cs.CV
专题命中 可控生成 :inpainting(abstract);分类 cs.CV
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
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
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
专题命中 可控生成 :image editing(abstract);分类 cs.CV
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments 9 pages, 8 figures
专题命中 可控生成 :inpainting(abstract);分类 cs.CV
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments Published at ICLR 2019
专题命中 可控生成 :inpainting(abstract);分类 cs.CV
Comments 20 pages, Submitted to Pattern Recognition Letters
专题命中 可控生成 :image editing(abstract);分类 cs.CV
专题命中 可控生成 :diffusion(abstract);分类 cs.CV
Comments 7 pages, 5 figures, 2 tables
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
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments 3DV 2018 (oral)
专题命中 可控生成 :image synthesis(abstract);分类 cs.CV
专题命中 可控生成 :image synthesis(abstract);分类 cs.CV
Comments 8 pages, 11 figures, conference
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
专题命中 可控生成 :inpainting(abstract);分类 cs.CV
Comments Accepted to BMVC 2018 as an oral presentation
专题命中 可控生成 :image generation(abstract);分类 cs.CV
Comments Draft Submission
专题命中 可控生成 :image generation(abstract);分类 cs.CV
专题命中 可控生成 :inpainting(abstract);分类 cs.MM
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