{"list":"other","total":60,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"1706.02413","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","created":"2017-06-07","cited_by_count":4401},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"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":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"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":"2012.02190","title":"pixelNeRF: Neural Radiance Fields from One or Few Images","created":"2020-12-03","cited_by_count":1584},{"id":"2203.09517","title":"TensoRF: Tensorial Radiance Fields","created":"2022-03-17","cited_by_count":1280},{"id":"2112.07945","title":"Efficient Geometry-aware 3D Generative Adversarial Networks","created":"2021-12-15","cited_by_count":1205},{"id":"2011.12948","title":"Nerfies: Deformable Neural Radiance Fields","created":"2020-11-25","cited_by_count":1198},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"1611.08097","title":"Geometric deep learning: going beyond Euclidean data","created":"2016-11-24","cited_by_count":1048},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"id":"2007.11571","title":"Neural Sparse Voxel Fields","created":"2020-07-22","cited_by_count":959},{"id":"2103.14024","title":"PlenOctrees for Real-time Rendering of Neural Radiance Fields","created":"2021-03-25","cited_by_count":905},{"id":"1906.01618","title":"Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations","created":"2019-06-04","cited_by_count":864},{"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":"2103.10380","title":"FastNeRF: High-Fidelity Neural Rendering at 200FPS","created":"2021-03-18","cited_by_count":511},{"id":"2101.08779","title":"AI Choreographer: Music Conditioned 3D Dance Generation with AIST++","created":"2021-01-21","cited_by_count":485},{"id":"2012.12247","title":"Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video","created":"2020-12-22","cited_by_count":471},{"id":"2012.03065","title":"Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction","created":"2020-12-05","cited_by_count":467},{"id":"2105.06468","title":"Dynamic View Synthesis from Dynamic Monocular Video","created":"2021-05-13","cited_by_count":420},{"id":"1808.06601","title":"Video-to-Video Synthesis","created":"2018-08-20","cited_by_count":390},{"id":"2105.02872","title":"Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies","created":"2021-05-06","cited_by_count":361},{"id":"1604.03265","title":"Volumetric and Multi-View CNNs for Object Classification on 3D Data","created":"2016-04-12","cited_by_count":240},{"id":"2104.03953","title":"SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes","created":"2021-04-08","cited_by_count":221},{"id":"2211.11610","title":"Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering","created":"2022-11-21","cited_by_count":217},{"id":"2212.00792","title":"SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction","created":"2022-12-01","cited_by_count":216},{"id":"2104.03313","title":"SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks","created":"2021-04-07","cited_by_count":181},{"id":"2206.08929","title":"TAVA: Template-free Animatable Volumetric Actors","created":"2022-06-17","cited_by_count":172},{"id":"2003.08325","title":"DeepCap: Monocular Human Performance Capture Using Weak Supervision","created":"2020-03-18","cited_by_count":162},{"id":"2305.06356","title":"HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion","created":"2023-05-10","cited_by_count":161},{"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":"2307.11335","title":"Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields","created":"2023-07-21","cited_by_count":143},{"id":"2210.10036","title":"ARAH: Animatable Volume Rendering of Articulated Human SDFs","created":"2022-10-18","cited_by_count":139},{"id":"2212.10550","title":"InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds","created":"2022-12-20","cited_by_count":138},{"id":"2203.14478","title":"Structured Local Radiance Fields for Human Avatar Modeling","created":"2022-03-28","cited_by_count":116},{"id":"1511.02300","title":"Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images","created":"2015-11-07","cited_by_count":111},{"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":"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":"2106.11944","title":"MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images","created":"2021-06-22","cited_by_count":78},{"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":"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":"2207.09774","title":"Drivable Volumetric Avatars using Texel-Aligned Features","created":"2022-07-20","cited_by_count":62},{"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":"2203.01754","title":"PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence","created":"2022-03-03","cited_by_count":46},{"id":"2104.03978","title":"Dynamic Surface Function Networks for Clothed Human Bodies","created":"2021-04-08","cited_by_count":44},{"id":"2205.01355","title":"Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks","created":"2022-05-03","cited_by_count":39},{"id":"2208.08728","title":"Neural Capture of Animatable 3D Human from Monocular Video","created":"2022-08-18","cited_by_count":22},{"id":"2308.05925","title":"CaPhy: Capturing Physical Properties for Animatable Human Avatars","created":"2023-08-11","cited_by_count":20},{"id":"1702.08675","title":"3D Shape Segmentation via Shape Fully Convolutional Networks","created":"2017-02-28","cited_by_count":15}],"next_cursor":null}