{"list":"other","total":54,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2205.11487","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","created":"2022-05-23","cited_by_count":6355},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"2201.12086","title":"BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation","created":"2022-01-28","cited_by_count":4322},{"id":"2102.12092","title":"Zero-Shot Text-to-Image Generation","created":"2021-02-24","cited_by_count":4288},{"id":"2209.14988","title":"DreamFusion: Text-to-3D using 2D Diffusion","created":"2022-09-29","cited_by_count":3025},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"2211.10440","title":"Magic3D: High-Resolution Text-to-3D Content Creation","created":"2022-11-18","cited_by_count":1290},{"id":"1607.08022","title":"Instance Normalization: The Missing Ingredient for Fast Stylization","created":"2016-07-27","cited_by_count":1198},{"id":"1803.02999","title":"On First-Order Meta-Learning Algorithms","created":"2018-03-08","cited_by_count":1018},{"id":"2103.17249","title":"StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery","created":"2021-03-31","cited_by_count":991},{"id":"2112.01455","title":"Zero-Shot Text-Guided Object Generation with Dream Fields","created":"2021-12-02","cited_by_count":513},{"id":"2303.12789","title":"Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions","created":"2023-03-22","cited_by_count":484},{"id":"2012.03065","title":"Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction","created":"2020-12-05","cited_by_count":467},{"id":"2104.00677","title":"Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis","created":"2021-04-01","cited_by_count":464},{"id":"1705.08086","title":"Universal Style Transfer via Feature Transforms","created":"2017-05-23","cited_by_count":354},{"id":"2112.03221","title":"Text2Mesh: Text-Driven Neural Stylization for Meshes","created":"2021-12-06","cited_by_count":334},{"id":"2204.02491","title":"Text2LIVE: Text-Driven Layered Image and Video Editing","created":"2022-04-05","cited_by_count":312},{"id":"2212.06135","title":"Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion","created":"2022-12-12","cited_by_count":309},{"id":"2204.08583","title":"VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance","created":"2022-04-18","cited_by_count":285},{"id":"2203.13333","title":"CLIP-Mesh: Generating textured meshes from text using pretrained image-text models","created":"2022-03-24","cited_by_count":281},{"id":"2103.01954","title":"Mixture of Volumetric Primitives for Efficient Neural Rendering","created":"2021-03-02","cited_by_count":277},{"id":"2012.02189","title":"Learned Initializations for Optimizing Coordinate-Based Neural Representations","created":"2020-12-03","cited_by_count":242},{"id":"2111.15666","title":"HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing","created":"2021-11-30","cited_by_count":208},{"id":"2108.00946","title":"StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators","created":"2021-08-02","cited_by_count":164},{"id":"2212.08070","title":"NeRF-Art: Text-Driven Neural Radiance Fields Stylization","created":"2022-12-15","cited_by_count":126},{"id":"2105.13016","title":"Stylizing 3D Scene via Implicit Representation and HyperNetwork","created":"2021-05-27","cited_by_count":103},{"id":"1601.04589","title":"Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis","created":"2016-01-18","cited_by_count":102},{"id":"2304.03117","title":"DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance","created":"2023-04-01","cited_by_count":80},{"id":"2105.13509","title":"Learning to Stylize Novel Views","created":"2021-05-27","cited_by_count":76},{"id":"2212.08062","title":"MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation","created":"2022-12-15","cited_by_count":69},{"id":"2110.08398","title":"Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks","created":"2021-10-15","cited_by_count":68},{"id":"2203.13248","title":"Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer","created":"2022-03-24","cited_by_count":66},{"id":"2212.01406","title":"ClipFace: Text-guided Editing of Textured 3D Morphable Models","created":"2022-12-02","cited_by_count":60},{"id":"2112.01530","title":"StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions","created":"2021-12-02","cited_by_count":58},{"id":"2202.05822","title":"CLIPasso: Semantically-Aware Object Sketching","created":"2022-02-11","cited_by_count":57},{"id":"2209.15172","title":"Understanding Pure CLIP Guidance for Voxel Grid NeRF Models","created":"2022-09-30","cited_by_count":56},{"id":"2205.08535","title":"AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars","created":"2022-05-17","cited_by_count":55},{"id":"2110.12427","title":"Image-Based CLIP-Guided Essence Transfer","created":"2021-10-24","cited_by_count":39},{"id":"2301.02700","title":"3DAvatarGAN: Bridging Domains for Personalized Editable Avatars","created":"2023-01-06","cited_by_count":38},{"id":"2211.16374","title":"DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model","created":"2022-11-29","cited_by_count":32},{"id":"2003.11038","title":"Deformable Style Transfer","created":"2020-03-24","cited_by_count":31},{"id":"2106.14942","title":"Fast Training of Neural Lumigraph Representations using Meta Learning","created":"2021-06-28","cited_by_count":29},{"id":"2207.02363","title":"SNeRF: Stylized Neural Implicit Representations for 3D Scenes","created":"2022-07-05","cited_by_count":26},{"id":"2104.14559","title":"Exemplar-Based 3D Portrait Stylization","created":"2021-04-29","cited_by_count":21},{"id":"2209.11224","title":"VToonify: Controllable High-Resolution Portrait Video Style Transfer","created":"2022-09-22","cited_by_count":20},{"id":"2210.08884","title":"HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks","created":"2022-10-17","cited_by_count":19},{"id":"1812.05233","title":"MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer","created":"2018-12-13","cited_by_count":16},{"id":"2204.08993","title":"Metappearance: Meta-Learning for Visual Appearance Reproduction","created":"2022-04-19","cited_by_count":9},{"id":"2207.02426","title":"DCT-Net: Domain-Calibrated Translation for Portrait Stylization","created":"2022-07-06","cited_by_count":6}],"next_cursor":null}