{"list":"other","total":51,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"2207.12598","title":"Classifier-Free Diffusion Guidance","created":"2022-07-26","cited_by_count":5847},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"2206.00927","title":"DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps","created":"2022-06-02","cited_by_count":1979},{"id":"2308.06721","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","created":"2023-08-13","cited_by_count":1464},{"id":"2112.07945","title":"Efficient Geometry-aware 3D Generative Adversarial Networks","created":"2021-12-15","cited_by_count":1205},{"id":"2107.10833","title":"Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data","created":"2021-07-22","cited_by_count":970},{"id":"2202.09778","title":"Pseudo Numerical Methods for Diffusion Models on Manifolds","created":"2022-02-20","cited_by_count":700},{"id":"1907.11922","title":"MaskGAN: Towards Diverse and Interactive Facial Image Manipulation","created":"2019-07-27","cited_by_count":628},{"id":"1903.08527","title":"Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set","created":"2019-03-20","cited_by_count":482},{"id":"2012.04012","title":"Learning an Animatable Detailed 3D Face Model from In-The-Wild Images","created":"2020-12-07","cited_by_count":477},{"id":"2401.07519","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","created":"2024-01-15","cited_by_count":436},{"id":"2106.05744","title":"Pivotal Tuning for Latent-based Editing of Real Images","created":"2021-06-10","cited_by_count":427},{"id":"2008.02401","title":"StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows","created":"2020-08-06","cited_by_count":349},{"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":"2511.22699","title":"Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer","created":"2025-11-27","cited_by_count":277},{"id":"1807.10267","title":"Generating 3D faces using Convolutional Mesh Autoencoders","created":"2018-07-26","cited_by_count":268},{"id":"2204.11312","title":"EMOCA: Emotion Driven Monocular Face Capture and Animation","created":"2022-04-24","cited_by_count":255},{"id":"2204.06607","title":"Towards Metrical Reconstruction of Human Faces","created":"2022-04-13","cited_by_count":166},{"id":"1808.00362","title":"Deep Appearance Models for Face Rendering","created":"2018-08-01","cited_by_count":164},{"id":"1804.03786","title":"Nonlinear 3D Face Morphable Model","created":"2018-04-11","cited_by_count":157},{"id":"1905.00824","title":"Single Image Portrait Relighting","created":"2019-05-02","cited_by_count":152},{"id":"1712.01261","title":"SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild","created":"2017-12-02","cited_by_count":110},{"id":"1904.04933","title":"Towards High-fidelity Nonlinear 3D Face Morphable Model","created":"2019-04-09","cited_by_count":91},{"id":"2003.13845","title":"AvatarMe: Realistically Renderable 3D Facial Reconstruction \"in-the-wild\"","created":"2020-03-30","cited_by_count":91},{"id":"1906.03355","title":"Learning Physics-guided Face Relighting under Directional Light","created":"2019-06-07","cited_by_count":90},{"id":"2304.03117","title":"DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance","created":"2023-04-01","cited_by_count":80},{"id":"2209.10510","title":"Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation","created":"2022-09-21","cited_by_count":67},{"id":"2112.05957","title":"AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs","created":"2021-12-11","cited_by_count":49},{"id":"2203.16681","title":"Face Relighting with Geometrically Consistent Shadows","created":"2022-03-30","cited_by_count":43},{"id":"2302.14434","title":"A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images","created":"2023-02-28","cited_by_count":43},{"id":"2104.00825","title":"Towards High Fidelity Face Relighting with Realistic Shadows","created":"2021-04-02","cited_by_count":42},{"id":"2211.13874","title":"FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction","created":"2022-11-25","cited_by_count":39},{"id":"2309.07125","title":"Text-Guided Generation and Editing of Compositional 3D Avatars","created":"2023-09-13","cited_by_count":39},{"id":"2305.09641","title":"FitMe: Deep Photorealistic 3D Morphable Model Avatars","created":"2023-05-16","cited_by_count":38},{"id":"2012.15370","title":"OSTeC: One-Shot Texture Completion","created":"2020-12-30","cited_by_count":37},{"id":"2101.05356","title":"Practical Face Reconstruction via Differentiable Ray Tracing","created":"2021-01-13","cited_by_count":35},{"id":"2105.07474","title":"Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction","created":"2021-05-16","cited_by_count":33},{"id":"2203.09729","title":"REALY: Rethinking the Evaluation of 3D Face Reconstruction","created":"2022-03-18","cited_by_count":33},{"id":"2305.03302","title":"High-Fidelity 3D Face Generation from Natural Language Descriptions","created":"2023-05-05","cited_by_count":33},{"id":"1612.00523","title":"Photorealistic Facial Texture Inference Using Deep Neural Networks","created":"2016-12-02","cited_by_count":32},{"id":"2303.15437","title":"FaceLit: Neural 3D Relightable Faces","created":"2023-03-27","cited_by_count":20},{"id":"2304.13153","title":"LumiGAN: Unconditional Generation of Relightable 3D Human Faces","created":"2023-04-25","cited_by_count":14},{"id":"2503.17197","title":"FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy","created":"2025-03-21","cited_by_count":7},{"id":"2110.04760","title":"Unsupervised High-Fidelity Facial Texture Generation and Reconstruction","created":"2021-10-10","cited_by_count":6},{"id":"2303.02688","title":"Text2Face: A Multi-Modal 3D Face Model","created":"2023-03-05","cited_by_count":3}],"next_cursor":null}