{"list":"other","total":57,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1611.07004","title":"Image-to-Image Translation with Conditional Adversarial Networks","created":"2016-11-21","cited_by_count":4527},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"2006.09661","title":"Implicit Neural Representations with Periodic Activation Functions","created":"2020-06-17","cited_by_count":2238},{"id":"2006.10739","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains","created":"2020-06-18","cited_by_count":2200},{"id":"1411.1784","title":"Conditional Generative Adversarial Nets","created":"2014-11-06","cited_by_count":2162},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1904.05866","title":"Expressive Body Capture: 3D Hands, Face, and Body from a Single Image","created":"2019-04-11","cited_by_count":1612},{"id":"2111.05826","title":"Palette: Image-to-Image Diffusion Models","created":"2021-11-10","cited_by_count":1300},{"id":"2112.07945","title":"Efficient Geometry-aware 3D Generative Adversarial Networks","created":"2021-12-15","cited_by_count":1205},{"id":"2006.06676","title":"Training Generative Adversarial Networks with Limited Data","created":"2020-06-11","cited_by_count":1186},{"id":"1912.01865","title":"StarGAN v2: Diverse Image Synthesis for Multiple Domains","created":"2019-12-04","cited_by_count":1098},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"2012.00926","title":"pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis","created":"2020-12-02","cited_by_count":708},{"id":"2007.02442","title":"GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis","created":"2020-07-05","cited_by_count":689},{"id":"2012.09161","title":"Learning Continuous Image Representation with Local Implicit Image Function","created":"2020-12-16","cited_by_count":552},{"id":"2111.15640","title":"Diffusion Autoencoders: Toward a Meaningful and Decodable Representation","created":"2021-11-30","cited_by_count":449},{"id":"2011.15126","title":"One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing","created":"2020-11-30","cited_by_count":444},{"id":"2106.05744","title":"Pivotal Tuning for Latent-based Editing of Real Images","created":"2021-06-10","cited_by_count":427},{"id":"2211.12194","title":"SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation","created":"2022-11-22","cited_by_count":382},{"id":"2105.02872","title":"Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies","created":"2021-05-06","cited_by_count":361},{"id":"2004.00121","title":"StyleRig: Rigging StyleGAN for 3D Control over Portrait Images","created":"2020-03-31","cited_by_count":268},{"id":"2112.05637","title":"HeadNeRF: A Real-time NeRF-based Parametric Head Model","created":"2021-12-10","cited_by_count":228},{"id":"2205.07680","title":"BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models","created":"2022-05-16","cited_by_count":225},{"id":"2004.11660","title":"Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning","created":"2020-04-24","cited_by_count":220},{"id":"2301.05187","title":"WIRE: Wavelet Implicit Neural Representations","created":"2023-01-05","cited_by_count":220},{"id":"2109.08379","title":"PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering","created":"2021-09-17","cited_by_count":203},{"id":"2008.08535","title":"STAR: Sparse Trained Articulated Human Body Regressor","created":"2020-08-19","cited_by_count":194},{"id":"2108.07845","title":"ARCH++: Animation-Ready Clothed Human Reconstruction Revisited","created":"2021-08-17","cited_by_count":174},{"id":"1605.03557","title":"View Synthesis by Appearance Flow","created":"2016-05-11","cited_by_count":172},{"id":"1912.03207","title":"NASA: Neural Articulated Shape Approximation","created":"2019-12-06","cited_by_count":149},{"id":"2211.11208","title":"Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars","created":"2022-11-21","cited_by_count":124},{"id":"2011.14143","title":"i3DMM: Deep Implicit 3D Morphable Model of Human Heads","created":"2020-11-28","cited_by_count":109},{"id":"2303.14662","title":"OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering","created":"2023-03-26","cited_by_count":67},{"id":"2203.14510","title":"ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations","created":"2022-03-28","cited_by_count":64},{"id":"2005.02671","title":"CONFIG: Controllable Neural Face Image Generation","created":"2020-05-06","cited_by_count":61},{"id":"1703.02921","title":"Transformation-Grounded Image Generation Network for Novel 3D View Synthesis","created":"2017-03-08","cited_by_count":59},{"id":"1902.08900","title":"3D Guided Fine-Grained Face Manipulation","created":"2019-02-24","cited_by_count":45},{"id":"2305.09641","title":"FitMe: Deep Photorealistic 3D Morphable Model Avatars","created":"2023-05-16","cited_by_count":38},{"id":"2303.15539","title":"OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis","created":"2023-03-27","cited_by_count":34},{"id":"2303.11424","title":"Polynomial Implicit Neural Representations For Large Diverse Datasets","created":"2023-03-20","cited_by_count":18},{"id":"2303.14587","title":"PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters","created":"2023-03-25","cited_by_count":17},{"id":"2305.03043","title":"Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization","created":"2023-05-04","cited_by_count":16},{"id":"2111.07640","title":"AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment","created":"2021-11-15","cited_by_count":11},{"id":"1908.09638","title":"SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters","created":"2019-08-26","cited_by_count":10},{"id":"2207.05378","title":"Collaborative Neural Rendering using Anime Character Sheets","created":"2022-07-12","cited_by_count":8}],"next_cursor":null}