Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:35:51.509284Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 3 inbound Pith citation observations for arXiv:2508.16062.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:35:51.509284Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T07:10:09.085500Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:27:04.599403Z
100 of 127 outbound references displayed
External citation measurements
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Observation d8be6671-e9c2-4ccb-8578-0ce12ba61698 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Common Pets in 3D: Dynamic New- View Synthesis of Real-Life Deformable Categories,
Reference 1
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Observation 405dbb0d-75f3-4845-babd-1c3190e35f82 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Learning 3D Deformation of Animals from 2D Images,
Reference 2
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Observation b6534fbf-53c2-447c-a21d-3492398be2f9 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Reconstruct- ing Animatable Categories from Videos,
Reference 3
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Virtual Pets: Animatable Animal Generation in 3D Scenes
Reference 4
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Learning the 3D Fauna of the Web
Reference 5
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals BANMo: Building Animatable 3D Neural Models from Many Casual Videos,
Reference 6
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Viser: Video-specific surface embeddings for articulated 3D shape reconstruction,
Reference 7
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Image-based 3d object re- construction: State-of-the-art and trends in the deep learning era,
Reference 8
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals A survey on deep learning techniques for stereo-based depth estimation,
Reference 9
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Single-view 3d reconstruction: A survey of deep learning methods,
Reference 10
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Observation d46158c8-5684-402f-9460-af6cb2d43a91 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals 3d reconstruction using deep learning: a survey,
Reference 11
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Observation 89a2bdab-6cef-4882-96fc-de53b8ab9705 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review
Reference 12
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals State of the Art in Dense Monocular Non-Rigid 3D Reconstruction,
Reference 13
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Observation 801d7c88-854c-4b02-8a12-de30e423a966 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Recent trends in 3d reconstruction of general non-rigid scenes,
Reference 14
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals A morphable model for the synthesis of 3d faces,
Reference 15
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals 3D morphable face models—past, present, and future,
Reference 16
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals SMPL: A skinned multi-person linear model,
Reference 17
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Observation 6be93769-8992-4672-b72f-f9a4a8e4ffb0 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Reference 18
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Reference 19
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Artic3D: Learning robust articulated 3Dshapes from noisy web image collections,
Reference 20
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble,
Reference 21
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals One-2-3-45: Any single image to 3D mesh in 45 seconds without per-shape optimization,
Reference 22
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Zero-1-to-3: Zero-shot One Image to 3D Object,
Reference 23
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Reference 24
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition,
Reference 25
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Emerging properties in self-supervised vision transformers,
Reference 26
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals DINOv2: Learning Robust Visual Features without Supervision
Reference 27
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals 4DCom- plete: Non-Rigid Motion Estimation Beyond the Observable Surface,
Reference 28
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals DOVE: Learning deformable 3d objects by watching videos,
Reference 29
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Observation d80127ec-fe52-4673-b15b-99e9dcd7aa99 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Learning category-specific mesh reconstruction from image collections,
Reference 30
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Articulation- Aware Canonical Surface Mapping,
Reference 31
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Implicit Mesh Reconstruction from Unannotated Image Collections
Reference 32
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Observation ffd2d68c-6dc3-4efe-88bd-a17fc4ccd8c9 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Self-supervised single-view 3D reconstruction via semantic consistency,
Reference 33
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Casa: Category-agnostic skeletal animal reconstruction,
Reference 34
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Infor- mation,
Reference 35
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Observation 0cc7ebe5-164d-45af-a02a-d8c25a2dee37 · outbound
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild
Reference 36
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Who left the dogs out? 3d animal reconstruction with expectation maxi- mization in the loop,
Reference 37
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals LEP- ARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction,
Reference 38
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals MagicPony: Learning Articulated 3D Animals in the Wild,
Reference 39
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Pulsar: Efficient sphere-based neural rendering,
Reference 40
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Surfels: surface elements as rendering primitives,
Reference 41
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Deepsur- fels: Learning online appearance fusion,
Reference 42
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruc- tion,
Reference 43
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals DUSt3R: Geometric 3d vision made easy,
Reference 44
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Grounding image matching in 3D with MASt3R,
Reference 45
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals MONSt3R: A simple approach for estimating geometry in the presence of motion,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Dynamicfusion: Recon- struction and tracking of non-rigid scenes in real-time,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals NeRS: Neural reflectance surfaces for sparse-view 3D reconstruction in the wild,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Varen: Very accurate and realistic equine network,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals 3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View,
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Reference 74
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Reference 75
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Facenet: A unified embedding for face recognition and clustering,
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Animer: Animal pose and shape estimation using family aware transformer,
Reference 78
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Reference 79
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Reference 85
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Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals Affine transformations of 3D objects represented with neural networks,
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Reference 89
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Reference 93
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Reference 94
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Reference 95
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Reference 96
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Reference 97
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Reference 98
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Reference 99
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Reference 100
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Reference 1
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