Photographic Image Synthesis with Cascaded Refinement Networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

U-Net: Convolutional Networks for Biomedical Image Segmentation

Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930

Generative Adversarial Nets

Labaca-Castro, R. (2023) · Springer eBooks · doi:10.1007/978-3-658-40442-0_9 · Cited by 21,119

GAN（Generative Adversarial Nets）

淳司, 柴. (2017) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.29.5_177_2 · Cited by 20,507

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.19 · Cited by 12,696

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.350 · Cited by 12,433

Unsupervised representation learning with deep convolutional generative adversarial networks

Radford, A., Metz, L., & Chintala, S. (2015) · arXiv · doi:10.48550/arxiv.1511.06434 · Cited by 12,235

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Johnson, J., Alahi, A., & Fei-Fei, L. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46475-6_43 · Cited by 11,283

X-GAN: Improving Generative Adversarial Networks with ConveX Combinations

Blum, O., Brattoli, B., & Ommer, B. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-12939-2_15 · Cited by 2

Appearance Flow Completion for Novel View Synthesis

Le, H. M., & Liu, F. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13860 · Cited by 2

Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks

Haiderbhai, M., Ledesma, S., Navab, N., & Fallavollita, P. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9175420 · Cited by 2

AMR-Net: Convolutional Neural Networks for Multi-resolution Steady Flow Prediction

Asahi, Y., Hatayama, S., Shimokawabe, T., Onodera, N., Hasegawa, Y., & Idomura, Y. (2021) · IEEE International Conference on Cluster Computing (CLUSTER) · doi:10.1109/cluster48925.2021.00102 · Cited by 2

RecycleNet

Hu, Y., Zheng, Y. L., Jiang, X., Liu, H., Jiang, D., Liu, Y., Ren, B., & Ji, R. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3481536 · Cited by 2

Network Bending: Expressive Manipulation of Generative Models in Multiple Domains

Broad, T., Leymarie, F. F., & Grierson, M. (2021) · Entropy · doi:10.3390/e24010028 · Cited by 2

CFR-GAN: A Generative Model for Craniofacial Reconstruction

Pengyue, L., Wen, Y., Siyuan, X., Yu, J., Liu, X., & Geng, G. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669398 · Cited by 2

Semantic-Aware Noise Driven Portrait Synthesis and Manipulation

Deng, Q., Li, Q., Cao, J., Liu, Y., & Sun, Z. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3151507 · Cited by 2

Trilateral GAN with Channel Attention Residual for Semantic Image Synthesis

Ke, A., Liu, G., Chen, J., & Wu, X. (2021) · International Conference on Computer Information Science and Artificial Intelligence (CISAI) · doi:10.1109/cisai54367.2021.00223 · Cited by 2

Low Light Enhancer: A Low Light Image Enhancement Model Based on U-Net using Smartphone

Chowdhury, T. B., Khaliluzzaman, M., Uddin, M. J., Khanam, K., & Islam, M. M. (2022) · International Conference on Innovations in Science, Engineering and Technology (ICISET) · doi:10.1109/iciset54810.2022.9775888 · Cited by 2

Controlling StyleGANs using rough scribbles via one‐shot learning

Endo, Y., & Kanamori, Y. (2022) · Computer Animation and Virtual Worlds · doi:10.1002/cav.2102 · Cited by 2

3D Grid Based Virtual Trial Room

Ram, D., Roy, B., & Soni, V. (2022) · IEEE World Conference on Applied Intelligence and Computing (AIC) · doi:10.1109/aic55036.2022.9848947 · Cited by 2

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence

Hagos, Y. B., Sobhani, F., Castillo, S. P., Hall, A. H. S., AbdulJabbar, K., Salgado, R., Harmon, B. E., Gallagher, K. K., Kilgore, M., King, L. M., et al. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19660-7_16 · Cited by 2

Soft-margin Ellipsoid generative adversarial networks

Jiang, Z. W., Liu, B., & Huang, W. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106383 · Cited by 2

Towards diverse image-to-image translation via adaptive normalization layer and contrast learning

Zhang, H., Pu, Y., Zhao, Z., Li, Y., Li, X. Y., & Nie, R. (2024) · Computers & Graphics · doi:10.1016/j.cag.2024.104017 · Cited by 2

High-Resolution Driving Scene Synthesis Using Stacked Conditional Gans and Spectral Normalization

Lin, S.-B., Chen, L. F., Zou, Q., & Tian, W. (2019) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2019.00231 · Cited by 2

Generative Networks for Synthesizing Human Videos in Text-Defined Outfits

Malhotra, A., Swaminathan, V., Wu, G., & Schizas, I. D. (2019) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2019.8901706 · Cited by 2

An Input-Perceptual Reconstruction Adversarial Network for Paired Image-to-Image Conversion

Khan, A., Jin, W., Ahmad, M., Naqvi, R. A., & Wang, D. (2020) · Sensors · doi:10.3390/s20154161 · Cited by 2

Are conditional GANs explicitly conditional?

Boulahbal, H. E., Voicila, A., & Comport, A. I. (2021) · British Machine Vision Conference (BMVC) · doi:10.5244/c.35.354 · Cited by 2

Generative Adversarial Networks with Bi-directional Normalization for Semantic Image Synthesis

Long, J., & Lu, H. (2021) · International Conference on Multimedia Retrieval · doi:10.1145/3460426.3463651 · Cited by 2

Reducing Power Consumption using Approximate Encoding for CNN Accelerators at the Edge

Yang, T., Ukezono, T., & Sato, T. (2022) · ACM Great Lakes Symposium on VLSI (GLSVLSI) · doi:10.1145/3526241.3530315 · Cited by 2

Mask Embedding in conditional GAN for Guided Synthesis of High Resolution ImagesPreprint

Ren, Y., Zhu, Z., Li, Y., & Lo, J. Y.-C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.01710 · Cited by 2

The sound of my voice: speaker representation loss for target voice separationPreprint

Mun, S., Choe, S., Huh, J., & Chung, J. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.02411 · Cited by 2

Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-SupervisionPreprint

Zheng, H., Liao, H., Chen, L., Xiong, W., Chen, T., & Luo, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.10024 · Cited by 2

Semantic Image Manipulation Using Scene GraphsPreprint

Dhamo, H., Farshad, A., Laina, I., Navab, N., Hager, G. D., Tombari, F., & Rupprecht, C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.03677 · Cited by 2

Distorted image restoration using stacked adversarial networkPreprint

Gu, Y., Gao, Y., Li, J., Wu, C., & Jia, W. (2020) · arXiv (Cornell University) · Cited by 2

Improving Augmentation and Evaluation Schemes for Semantic Image SynthesisPreprint

Katiyar, P., & Khoreva, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.12636 · Cited by 2

HindwingLib: A library of leaf beetle hindwings generated by Stable Diffusion and ControlNet

Yang, Y., Li, W., Liu, R., Wu, C., Ren, J., Shi, Y., & Ge, S. (2025) · Scientific Data · doi:10.1038/s41597-025-05010-y · Cited by 2

Media files to ISL: GAN based Indian Sign Language Interpreter

Shobana Devi, P., Vidya, V., V, & Balan, C. (2022) · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) · doi:10.1109/iceeict53079.2022.9768403 · Cited by 1

Artistic image synthesis from unsupervised segmentation maps

Liu, D., Yao, H., & Lu, X. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15318-9 · Cited by 1

Long-Wave Infrared Non-Line-of-Sight Imaging with Visible Conversion

Jin, S., Zhang, W., Liu, H., Wang, H., Cui, S., & Xu, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78498-9_28 · Cited by 1

Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views

Zhang, S., & Zhao, C. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v39i10.33097 · Cited by 1

Multiscale contextual joint feature enhancement GAN for semantic image synthesis

Wang, H., Ma, R., & Jiang, X. W. (2025) · Image and Vision Computing · doi:10.1016/j.imavis.2025.105637 · Cited by 2

REVEAL: A Retrieval-Augmented Generation Approach for Contextual Identification of Synthetic Visual Content

Keïta, M., Hamidouche, W., Eutamene, H. B., Ahmed, A. T., & Hadid, A. (2025) · doi:10.1145/3746265.3759667 · Cited by 2

Face Sketch to Image Generation Using Pix2Pix GAN

Shetty, A., G, S. C., & Srividya, M. S. (2025) · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) · doi:10.1109/csitss67709.2025.11294441 · Cited by 1

Face Morphing Attack Generation and Detection: A State-of-the-Art Review

Antonutti, D., Ilyes, J., Ruzicka, L., Poletti, S., Hasenbalg, M., Boyer, M., & Fischinger, D. (2026) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2026.3655515 · Cited by 1

RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent

Deng, Y., Han, L., Lin, T., Li, L., Zhang, J., & Fang, L. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3651958 · Cited by 1

CatAID: Category-Guided AI-Generated Image Detection via Vision-Language Model Adaptation

Cai, Y., Jia, S., Tian, J., Dai, J., Han, J., & Lyu, S. (2025) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw69036.2025.00166 · Cited by 1

Joint Up-sampling High Dynamic Range Images with a Guidance Image

Han, S.-Q. (2019) · Journal of Mathematics and Informatics · doi:10.22457/jmi.132av15a6 · Cited by 1

Thermal and Cross-spectral Palm Image Matching in the Visual Domain by Robust Image Transformation

Bartuzi-Trokielewicz, E., & Damer, N. (2019) · International Conference on Biometrics · doi:10.1109/icb45273.2019.8987435 · Cited by 1

Generator from Edges: Reconstruction of Facial Images

Takano, N., & Alaghband, G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-64559-5_34 · Cited by 1

Quantification of Myxococcus xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images

Zhang, J., Comstock, J. A., Cotter, C. R., Murphy, P. A., Nie, W., Welch, R. D., Patel, A., & Igoshin, O. A. (2021) · Microorganisms · doi:10.3390/microorganisms9091954 · Cited by 1

Scene Generation from Backgrounds to Objects and Anything in Between: A Deep Learning Robotics Survey

Bouqata, B., Aswani, K., & Bailey, D. (2021) · International Conference on Arab Women in Computing (ArabWIC) · doi:10.1145/3485557.3485584 · Cited by 1

CLOTON: A GAN based approach for Clothing Try-On

Pandey, S., Srivastava, Y., Meena, Y., & Dewang, R. K. (2021) · International Conference on Signal Processing and Integrated Networks (SPIN) · doi:10.1109/spin52536.2021.9565973 · Cited by 1

Flexible Light Field Angular Superresolution via a Deep Coarse‐to‐Fine Framework

Wang, Q., Fang, L., Ye, L., Zhong, W., Hu, F., & Zhang, Q. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/4570755 · Cited by 1

USIS: A unified semantic image synthesis model trained on a single or multiple samples

Chen, P., Li, Z., Zhang, Y., Tang, Y., & Sun, L. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.09.092 · Cited by 1

FAD-Net: Fake Images Detection and Generalization Based on Frequency Domain Transformation

Liu, X., Liu, J., Guo, P., Tuo, D., Tian, S., & Jiang, Y. (2022) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei56279.2022.9980271 · Cited by 1

Improving SRN-Deblur Performance Based on Blur Direction-based Classification

Xu, X., Lu, Y., Xu, F., & Zhao, M. (2022) · IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · doi:10.1109/iccasit55263.2022.9986896 · Cited by 1

Region Extraction with Deep Cascaded Neural Architecture for Preserving Image Intensities

Khan, M. Z., & Lee, Y. (2022) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm55620.2022.9995008 · Cited by 1

Spatially Multi-conditional Image Generation

Popović, N., Chakraborty, R., Paudel, D. P., Probst, T., & Gool, L. V. (2023) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv56688.2023.00080 · Cited by 1

MUSH: Multi-scale Hierarchical Feature Extraction for Semantic Image Synthesis

Wang, Z., Ren, Q., Wang, J., Yan, C., & Jiang, C. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26293-7_12 · Cited by 1

Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method

Jin, D., Zheng, H., & Yuan, H. (2023) · Bioengineering · doi:10.3390/bioengineering10060716 · Cited by 1

A Deep Learning Based Approach for Synthesizing Realistic Depth Maps

Suárez, P. L., Carpio, D., & Sappa, A. D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43153-1_31 · Cited by 1

Frequency-Aware Self-Supervised Long-Tailed Learning

Lin, C.-S., Chen, M.-H., & Wang, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw60793.2023.00103 · Cited by 9

Shadow Removal for Enhanced Nighttime Driving Scene Generation

Yang, H., Choung, O.-H., & Ban, Y. (2024) · Applied Sciences · doi:10.3390/app142310999 · Cited by 1

Neuropostors: Neural Geometry-Aware 3D Crowd Character Impostors

Oštrek, M., Mitra, N. J., & O’Sullivan, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78312-8_29 · Cited by 1

AI-generated image detectors are surprisingly easy to mislead… for now

Lyu, Z., Xiao, J., Zhang, C., & Lam, K. (2024) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc63619.2025.10849104 · Cited by 1

Enhancing AAV-Based Industrial Systems With Cognitive IoT: Detecting AI-Manipulated Visual Data Using Graph-Based Methods

Yu, Y., Liu, C., Tan, Z., Tolba, A. K. R., Alfarraj, O., & Ding, F. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3550125 · Cited by 1

Research on Style Migration Techniques Based on Generative Adversarial Networks in Chinese Painting Creation

Liu, Y., Liu, L., & Liu, Z. (2025) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2025-0781 · Cited by 1

Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training

Sato, S., Kaneko, T., Murasaki, K., Yoshida, T., Tanida, R., & Kimura, A. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00236 · Cited by 1

Transforming Single Photon Camera Images to Color High Dynamic Range Images

Sharma, S., Girish, R. S. V., & Mitra, K. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-93709-5_10 · Cited by 1

PortraitGAN for flexible portrait manipulation

Duan, J., Guo, X., & Kuo, C. ‐. J. (2020) · APSIPA Transactions on Signal and Information Processing · doi:10.1017/atsip.2020.20 · Cited by 1

YesilcamGAN: Automatic face translation to Yesilcam artists

Özkan, S., & Akar, G. B. (2018) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2018.8404362 · Cited by 1

Online Singing Voice Separation Using a Recurrent One-dimensional U-NET Trained with Deep Feature Losses

Doire, C. S. J. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8683251 · Cited by 1

Long-term Labeling: Reusing Annotations for Changing Detections

Behrendt, K., & Mantha, A. (2019) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2019.8917341 · Cited by 1

Aynı Şartlar Altında Farklı Üretici Çekişmeli Ağların Karşılaştırılması

Güven, S. A., & Talu, M. F. (2019) · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · doi:10.1109/ismsit.2019.8932786 · Cited by 4

Food Photo Enhancer of One Sample Generative Adversarial Network

Wang, S., Sun, L., Dong, W., & Zhang, Y. (2019) · ACM International Conference on Multimedia in Asia (MMAsia) · doi:10.1145/3338533.3366605 · Cited by 1

Photorealistic Image Synthesis Using SPADE Algorithm

Pedduri, S. C., Ginnavaram, S. R. R., Myneni, M. B., & Padmaja, B. (2020) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-5089-8_37 · Cited by 1

High Fidelity Interactive Video Segmentation Using Tensor Decomposition, Boundary Loss, Convolutional Tessellations, and Context-Aware Skip Connections

Rhodes, A. D., & Goel, M. (2020) · Conference on Visual Media Production · doi:10.1145/3429341.3429352 · Cited by 1

Multi-level Gate Feature Aggregation with Spatially Adaptive Batch-Instance Normalization for Semantic Image Synthesis

Long, J., & Lu, H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-67832-6_31 · Cited by 1

Proposal of Image generation model using cGANs for sketching faces

Huu, N. P., & Thi, N. G. (2021) · Jurnal Informatika · doi:10.26555/jifo.v15i2.a20576 · Cited by 1

A Comprehensive Qualitative and Quantitative Review of Current Research in GANs

Ma, J., Saxena, P., & Ahamed, S. I. (2021) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac51774.2021.00250 · Cited by 1

Learning a perceptual manifold with deep features for animation video resequencing

Morace, C. C., Le, T.-N.-H., Yao, S.-Y., Zhang, S.-W., & Lee, T. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12251-1 · Cited by 1

Learning Depth Information in Layout for Sketch Generation from Scene Graph

Sun, Y., Lin, H., Liu, C., & Fu, Y. (2021) · International Conference on Big Data and Information Analytics (BigDIA) · doi:10.1109/bigdia53151.2021.9619707 · Cited by 1

Vehicle Image Generation Going Well with the Surroundings

Kim, J., Kim, J., Yoo, J., Kim, D., & Kwak, N. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-92273-3_6 · Cited by 1

Novel View Synthesis of Dynamic Human with Sparse Cameras

Lv, X., Wang, Y., Xu, F., Nie, J., Xu, F., & Gao, H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-93046-2_37 · Cited by 1

DGAN-KPN: Deep Generative Adversarial Network and Kernel Prediction Network for Denoising MC Renderings

Alzbier, A. M. T., & Chen, C. (2022) · Symmetry · doi:10.3390/sym14020395 · Cited by 1

AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework

Luo, L., & Hsu, W. H. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-15931-2_30 · Cited by 1

Encoder-Decoder Interactive Image Segmentation with Inception-Atrous-Collation Blocks

Rhodes, A. D., Ding, K., Goel, M., & Sundararajan, N. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892573 · Cited by 1

GIGAN: Self‐supervised GAN for generating the invisible using cycle transformation and conditional normalization

Quan, F., & Lang, B. (2023) · IET Image Processing · doi:10.1049/ipr2.12824 · Cited by 1

Towards Learning a Self-inverse Network for Bidirectional Image-to-image TranslationPreprint

Shen, Z., Chen, Y., Zhou, S. K., Georgescu, B., Liu, X., & Huang, T. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.04104 · Cited by 1

Training End-to-end Single Image Generators without GANsPreprint

Vinker, Y., Zabari, N., & Hoshen, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.06014 · Cited by 1

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image DecompositionPreprint

Alhaija, H. A., Mustikovela, S. K., Thies, J., Jampani, V., Nießner, M., Geiger, A., & Rother, C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.16011 · Cited by 1

Semantic Editing On Segmentation Map Via Multi-Expansion LossPreprint

He, J., Zhang, X., Lei, S., Wang, S., Huang, Q., Lu, C., & Xiao, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.08128 · Cited by 1

Learning to compose 6-DoF omnidirectional videos using multi-sphere imagesPreprint

Li, J., He, Y., Hu, Y., Han, Y., & Wen, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.05842 · Cited by 1

Inverting and Understanding Object DetectorsPreprint

Cao, A., & Johnson, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.13933 · Cited by 2

MVSM-CLP: Multi view synthesis method for Chinese landscape painting based on depth estimationPreprint

Peng, X., Zhou, W., Hu, Q., Li, T., Zhang, D., & Cao, R. (2024) · Research Square · doi:10.21203/rs.3.rs-5303350/v1 · Cited by 1

Initialization methods of convolutional neural networks for detection of image manipulations

Camacho, I. C. (2021) · theses.fr (ABES) · doi:10.70675/2ede3bafz55aaz4901za843zb59ccbd83976 · Cited by 1

Downhole Track Detection via Multiscale Conditional Generative Adversarial NetsPreprint

Li, J., Wei, X., Yang, G., Sun, X. N., & Li, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.08177

The Gesture Detection Algorithm Based on 3-DCGAN Range Estimation in FMCW Radar System

Jia, X., Wang, Y., Zhou, M., & Tian, Z. (2019) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-19153-5_25

ReshapeGAN: Object Reshaping by Providing A Single Reference ImagePreprint

Zheng, Z., Wu, Y., Yu, Z., Yang, Y., Zheng, H., & Takeo Kanade, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.06514

Zoom To Learn, Learn To ZoomPreprint

Zhang, X. C., Chen, Q., Ng, R., & Koltun, V. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.05169

Photographic Image Synthesis with Highway Residual U-net

Liu, G., Chen, X., Hu, Y., & Wang, X. (2018) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/compcomm.2018.8780729

Segmentation of Objects by HashingPreprint

de Curtò, J., de Zarzà, I., Smola, A. J., & Gool, L. V. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1702.08160

Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images

Ge, Z., Chen, F., Du, S., Yu, Y., & Zhou, Y. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093443

JPAD-SE: High-Level Semantics for Joint Perception-Accuracy-Distortion Enhancement in Image Compression.Preprint

Duan, S., Chen, H., & Gu, J. (2020) · arXiv (Cornell University)

Domain Adaptation with Morphologic SegmentationPreprint

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Semi-Parametric Image Synthesis

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