{"list":"other","total":51,"rows":[{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"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":"1912.07372","title":"Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision","created":"2019-12-16","cited_by_count":700},{"id":"2012.15838","title":"Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans","created":"2020-12-31","cited_by_count":634},{"id":"2201.04127","title":"HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video","created":"2022-01-11","cited_by_count":483},{"id":"2111.05849","title":"Advances in Neural Rendering","created":"2021-11-10","cited_by_count":365},{"id":"2105.02872","title":"Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies","created":"2021-05-06","cited_by_count":361},{"id":"2004.03805","title":"State of the Art on Neural Rendering","created":"2020-04-08","cited_by_count":278},{"id":"2103.16507","title":"PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop","created":"2021-03-30","cited_by_count":250},{"id":"2102.06199","title":"A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose","created":"2021-02-11","cited_by_count":233},{"id":"2104.03313","title":"SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks","created":"2021-04-07","cited_by_count":181},{"id":"1910.09777","title":"Self-Correction for Human Parsing","created":"2019-10-22","cited_by_count":180},{"id":"1904.08645","title":"Tex2Shape: Detailed Full Human Body Geometry From a Single Image","created":"2019-04-18","cited_by_count":166},{"id":"2003.08325","title":"DeepCap: Monocular Human Performance Capture Using Weak Supervision","created":"2020-03-18","cited_by_count":162},{"id":"2110.13746","title":"H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion","created":"2021-10-26","cited_by_count":157},{"id":"2103.06871","title":"SMPLicit: Topology-aware Generative Model for Clothed People","created":"2021-03-11","cited_by_count":155},{"id":"2003.04583","title":"TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style","created":"2020-03-10","cited_by_count":149},{"id":"2201.12792","title":"SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video","created":"2022-01-30","cited_by_count":144},{"id":"2004.00214","title":"BCNet: Learning Body and Cloth Shape from A Single Image","created":"2020-04-01","cited_by_count":120},{"id":"2003.12753","title":"Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images","created":"2020-03-28","cited_by_count":103},{"id":"2108.08807","title":"Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing","created":"2021-08-19","cited_by_count":102},{"id":"1804.06023","title":"DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor","created":"2018-04-17","cited_by_count":95},{"id":"1810.02648","title":"LiveCap: Real-time Human Performance Capture from Monocular Video","created":"2018-10-05","cited_by_count":93},{"id":"2104.00702","title":"NPMs: Neural Parametric Models for 3D Deformable Shapes","created":"2021-04-01","cited_by_count":90},{"id":"2109.01137","title":"The Power of Points for Modeling Humans in Clothing","created":"2021-09-02","cited_by_count":90},{"id":"1903.07190","title":"Learning-Based Animation of Clothing for Virtual Try-On","created":"2019-03-17","cited_by_count":89},{"id":"2007.11610","title":"SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing","created":"2020-07-22","cited_by_count":87},{"id":"2305.04789","title":"AvatarReX: Real-time Expressive Full-body Avatars","created":"2023-05-08","cited_by_count":84},{"id":"2204.02219","title":"SNUG: Self-Supervised Neural Dynamic Garments","created":"2022-04-05","cited_by_count":83},{"id":"2210.01868","title":"Capturing and Animation of Body and Clothing from Monocular Video","created":"2022-10-04","cited_by_count":83},{"id":"2104.07660","title":"SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements","created":"2021-04-15","cited_by_count":72},{"id":"2106.14879","title":"Modeling Clothing as a Separate Layer for an Animatable Human Avatar","created":"2021-06-28","cited_by_count":66},{"id":"2012.11310","title":"PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation","created":"2020-12-21","cited_by_count":63},{"id":"2104.08363","title":"StylePeople: A Generative Model of Fullbody Human Avatars","created":"2021-04-16","cited_by_count":62},{"id":"2012.12890","title":"ANR: Articulated Neural Rendering for Virtual Avatars","created":"2020-12-23","cited_by_count":55},{"id":"2011.14619","title":"DeepCloth: Neural Garment Representation for Shape and Style Editing","created":"2020-11-30","cited_by_count":54},{"id":"2207.06955","title":"Learning Implicit Templates for Point-Based Clothed Human Modeling","created":"2022-07-14","cited_by_count":50},{"id":"2304.13006","title":"PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling","created":"2023-04-25","cited_by_count":50},{"id":"2009.04592","title":"Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On","created":"2020-09-09","cited_by_count":48},{"id":"2104.03978","title":"Dynamic Surface Function Networks for Clothed Human Bodies","created":"2021-04-08","cited_by_count":44},{"id":"1903.06323","title":"SimulCap : Single-View Human Performance Capture with Cloth Simulation","created":"2019-03-15","cited_by_count":41},{"id":"2203.15007","title":"Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images","created":"2022-03-28","cited_by_count":39},{"id":"2205.01355","title":"Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks","created":"2022-05-03","cited_by_count":39},{"id":"2104.08230","title":"Point-Based Modeling of Human Clothing","created":"2021-04-16","cited_by_count":37},{"id":"2207.04750","title":"Geometry-aware Single-image Full-body Human Relighting","created":"2022-07-11","cited_by_count":34},{"id":"1812.01677","title":"A Pixel-Based Framework for Data-Driven Clothing","created":"2018-12-03","cited_by_count":28},{"id":"1904.02601","title":"TightCap: 3D Human Shape Capture with Clothing Tightness Field","created":"2019-04-04","cited_by_count":25},{"id":"2207.02031","title":"AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture","created":"2022-07-05","cited_by_count":25},{"id":"2004.05815","title":"MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera","created":"2020-04-13","cited_by_count":14},{"id":"2207.09835","title":"UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation","created":"2022-07-20","cited_by_count":8}],"next_cursor":null}