{"list":"other","total":62,"rows":[{"id":"2308.04079","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","created":"2023-08-08","cited_by_count":6226},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"2011.13961","title":"D-NeRF: Neural Radiance Fields for Dynamic Scenes","created":"2020-11-27","cited_by_count":1465},{"id":"2203.09517","title":"TensoRF: Tensorial Radiance Fields","created":"2022-03-17","cited_by_count":1280},{"id":"2011.12948","title":"Nerfies: Deformable Neural Radiance Fields","created":"2020-11-25","cited_by_count":1198},{"id":"2310.08528","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering","created":"2023-10-12","cited_by_count":1157},{"id":"1611.08050","title":"Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields","created":"2016-11-24","cited_by_count":1064},{"id":"2309.13101","title":"Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction","created":"2023-09-22","cited_by_count":759},{"id":"2301.10241","title":"K-Planes: Explicit Radiance Fields in Space, Time, and Appearance","created":"2023-01-24","cited_by_count":746},{"id":"2308.09713","title":"Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis","created":"2023-08-18","cited_by_count":737},{"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":"2301.09632","title":"HexPlane: A Fast Representation for Dynamic Scenes","created":"2023-01-23","cited_by_count":587},{"id":"2201.04127","title":"HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video","created":"2022-01-11","cited_by_count":483},{"id":"2310.10642","title":"Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting","created":"2023-10-16","cited_by_count":476},{"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":"2105.02872","title":"Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies","created":"2021-05-06","cited_by_count":361},{"id":"2212.05231","title":"NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction","created":"2022-12-10","cited_by_count":314},{"id":"2105.01859","title":"Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors","created":"2021-05-05","cited_by_count":246},{"id":"1801.01615","title":"Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies","created":"2018-01-05","cited_by_count":239},{"id":"2104.03953","title":"SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes","created":"2021-04-08","cited_by_count":221},{"id":"2302.12249","title":"MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes","created":"2023-02-23","cited_by_count":218},{"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":"2012.07810","title":"Real-Time High-Resolution Background Matting","created":"2020-12-14","cited_by_count":173},{"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":"2112.01517","title":"Efficient Neural Radiance Fields for Interactive Free-viewpoint Video","created":"2021-12-02","cited_by_count":150},{"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":"2105.01794","title":"Real-time Deep Dynamic Characters","created":"2021-05-04","cited_by_count":133},{"id":"2105.01905","title":"4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface","created":"2021-05-05","cited_by_count":124},{"id":"2112.02789","title":"HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs","created":"2021-12-06","cited_by_count":112},{"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":"2305.04789","title":"AvatarReX: Real-time Expressive Full-body Avatars","created":"2023-05-08","cited_by_count":84},{"id":"2012.01451","title":"Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction","created":"2020-12-02","cited_by_count":67},{"id":"2303.04805","title":"X-Avatar: Expressive Human Avatars","created":"2023-03-08","cited_by_count":66},{"id":"2209.08468","title":"Human Performance Modeling and Rendering via Neural Animated Mesh","created":"2022-09-18","cited_by_count":64},{"id":"2009.10711","title":"MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video","created":"2020-09-22","cited_by_count":62},{"id":"2206.15258","title":"Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera","created":"2022-06-30","cited_by_count":57},{"id":"2310.08585","title":"Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes","created":"2023-10-12","cited_by_count":55},{"id":"1903.08548","title":"Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression","created":"2019-03-20","cited_by_count":54},{"id":"2104.03978","title":"Dynamic Surface Function Networks for Clothed Human Bodies","created":"2021-04-08","cited_by_count":44},{"id":"2202.12825","title":"NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions","created":"2022-02-25","cited_by_count":44},{"id":"2006.09043","title":"Improved Deep Point Cloud Geometry Compression","created":"2020-06-16","cited_by_count":43},{"id":"2104.08160","title":"Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration","created":"2021-04-16","cited_by_count":41},{"id":"2103.07700","title":"NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras","created":"2021-03-13","cited_by_count":40},{"id":"2108.00362","title":"Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions","created":"2021-08-01","cited_by_count":37},{"id":"2304.02626","title":"Dynamic Point Fields","created":"2023-04-05","cited_by_count":37},{"id":"2310.11449","title":"DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis","created":"2023-10-17","cited_by_count":36},{"id":"2011.12866","title":"Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture","created":"2020-11-25","cited_by_count":30},{"id":"2209.06814","title":"Neural Point-based Shape Modeling of Humans in Challenging Clothing","created":"2022-09-14","cited_by_count":29},{"id":"2103.06747","title":"ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References","created":"2021-03-11","cited_by_count":26},{"id":"2104.14837","title":"RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream","created":"2021-04-30","cited_by_count":26},{"id":"2207.02031","title":"AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture","created":"2022-07-05","cited_by_count":25},{"id":"2304.03184","title":"Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream","created":"2023-04-06","cited_by_count":23},{"id":"2103.15331","title":"POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture","created":"2021-03-29","cited_by_count":22},{"id":"2304.03167","title":"CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition","created":"2023-04-06","cited_by_count":21},{"id":"1506.06096","title":"Graph-based compression of dynamic 3D point cloud sequences","created":"2015-06-19","cited_by_count":17},{"id":"2210.05665","title":"HiFECap: Monocular High-Fidelity and Expressive Capture of Human Performances","created":"2022-10-11","cited_by_count":12}],"next_cursor":null}