Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:10:40.058587Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2509.08828.
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 2026-08-04T20:10:40.058587Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
84 of 84 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8abeee68-56d7-4746-9c79-cd75a06aa8f8 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Large steps in cloth sim- ulation
Reference 1
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Observation 45f75553-cf7f-4189-b14d-130278c7d20c · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Shape-from-template.IEEE TPAMI, 37(10):2099–2118, 2015
Reference 2
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Observation 5c436f5f-9b27-4c16-ae4b-898fef505f87 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation
Reference 3
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Observation ed9fa25a-427d-4e44-ad42-c89cd04b6b32 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Neu- ral cloth simulation.ACM TOG, 41, 2022
Reference 4
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Observation dbdcf500-7d63-41e8-92b9-f9e7bf4dc1e3 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Lensch, and Jan Kautz
Reference 5
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Observation b0c4967d-bb39-49bc-995b-2435a8b719fd · outbound
Reference 6
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Observation 6deaf6ba-3217-4a11-a46e-da5bf8ac48a7 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video The isowarp: the template-based visual geometry of isometric surfaces
Reference 7
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Observation 426ea4a9-179a-40c3-bb62-cb5be9f20c55 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Neural ordinary differential equa- tions.Advances in neural information processing systems, 31, 2018
Reference 8
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Observation a51299e9-fa06-4f78-834b-ab52f50502e2 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 9
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Observation 03d86b16-15e7-4419-b560-8fe514dad7c9 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Efficient simulation of knitted cloth using persistent contacts
Reference 10
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Observation fcdce344-9100-48ef-98ab-0f79c0701814 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Neural parametric gaussians for monocular non-rigid object reconstruction
Reference 11
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Observation 279abfbc-ad19-4099-ba95-628ccb72eaa0 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Drapenet: Garment generation and self- supervised draping
Reference 12
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Observation 8c81624d-faaf-47e8-8076-ce66ec38272a · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Single-image svbrdf cap- ture with a rendering-aware deep network.ACM Trans
Reference 13
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Observation a9ee053d-a10b-42ac-b553-aa6601bb6cdd · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Diffpd: Dif- ferentiable projective dynamics.ACM TOG, 41(2), 2021
Reference 14
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Observation 6c17f677-e58a-47ef-8c0b-0af6c3f145be · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Learning-based bending stiffness parameter estima- tion by a drape tester.ACM TOG, 41(6), 2022
Reference 15
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Observation 0c687e8f-a065-48d8-8ebf-5223b43d56f8 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Texture-generic deep shape-from-template.IEEE Access, 9:75211–75230,
Reference 16
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Observation 4700f620-3798-4712-a82a-f70cb6643aa3 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Deep inverse rendering for high-resolution svbrdf estimation from an arbitrary number of images.ACM Trans
Reference 17
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Observation 81d7f6e0-e59b-48a7-83f1-6d2ff3399f13 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Modeling the dy- namics of pde systems with physics-constrained deep auto- regressive networks.Journal of Computational Physics, 403: 109056, 2020
Reference 18
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Observation 5a4c1cd8-15bd-4d0e-b7ce-19c5f6348f41 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Hdm-net: Monocular non-rigid 3d recon- struction with learned deformation model
Reference 19
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Observation e7af1a5d-e42e-48a2-bf7f-b409d068669f · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Fine-grained dif- ferentiable physics: a yarn-level model for fabrics
Reference 20
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Observation 6d01138e-9bba-4345-96e7-4c0629f609bc · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Black, and Otmar Hilliges
Reference 21
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Observation 94412cf8-0dc7-4c0e-aae5-28c20a5cf426 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Real-time geometry, albedo, and mo- tion reconstruction using a single rgb-d camera.ACM Trans
Reference 22
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Observation dff53a79-a5ea-466a-9fcb-b6ccbe511222 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 23
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Observation 56a7c9db-b46d-4a36-b8f5-90407850aa5f · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Shape, light, and material decomposition from images using monte carlo rendering and denoising
Reference 24
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Observation 5a476399-1a24-422c-9c4f-e42d746b9e64 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Diff- taichi: Differentiable programming for physical simulation
Reference 25
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Observation e3f4d7c9-042a-496b-ac42-6621eb83ebab · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Estimating cloth simu- lation parameters from a static drape using neural networks
Reference 26
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Observation eb978e47-9082-4d63-8602-a46546ccdb01 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video In CVPR, pages 3948–3958, 2022
Reference 27
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Observation aa648e54-9eaf-464a-b01d-50bbafb2f623 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
Reference 28
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Observation 91e52eb1-8f64-4341-994f-653ede2dc5f6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Uni- fied shape and appearance reconstruction with joint camera parameter refinement.Graphical Models, 129, 2023
Reference 29
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Observation 4b4fdc77-4756-43ba-ba2b-0f3650114f8e · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Rosa: Reconstructing object shape and appearance textures by adaptive detail transfer
Reference 30
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Observation 90a26851-82ad-44ed-93e2-096632fb6cb0 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Deep svbrdf acquisition and modelling: A survey.Computer Graphics Forum, 43(6):e15199, 2024
Reference 31
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Observation 44673b68-2dca-45e9-a712-5df222d64469 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick
Reference 32
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Observation c143de96-b834-4352-8595-775a4fad7e26 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Modular primitives for high-performance differentiable rendering.ACM TOG, 39 (6), 2020
Reference 33
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Observation 151b6d17-543c-4a17-ad0b-cedcc254d104 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Mod- eling surface appearance from a single photograph using self-augmented convolutional neural networks.ACM Trans
Reference 34
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Observation 91035896-5203-4711-b77c-66aba29e16e9 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Diffcloth: Differentiable cloth simulation with dry frictional contact.ACM TOG, 42(1), 2022
Reference 35
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Observation 993366a0-fefb-4bb6-98ce-c7916f07d693 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Learning to recon- struct shape and spatially-varying reflectance from a single image.ACM Trans
Reference 36
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Observation 27273b9c-67e9-45b2-bb4a-a549e2fa9366 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Differen- tiable cloth simulation for inverse problems
Reference 37
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Observation f5c4ccab-c0a6-439f-90f9-ce6ea89aa802 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 38
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Observation e7315098-1582-41a1-9082-d089a5352b0d · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
Reference 39
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Observation b262624c-4dad-4adb-aa1f-30a5a283a91e · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Warp: A high-performance python frame- work for gpu simulation and graphics
Reference 40
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Observation 1d894de4-4918-434f-9589-a8be2179f661 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Physical simulation layer for accurate 3d modeling
Reference 41
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Observation 9c06ea82-e20a-45ad-bf08-5fb8a201285d · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Extracting Triangular 3D Models, Materials, and Light- ing From Images
Reference 42
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Observation ec918873-c0e0-4bbe-8218-0729e4c78997 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 43
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Observation 447adeb7-e72a-4c4b-9095-84a21b9549ad · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Local non-rigid structure-from-motion from diffeomorphic map- pings
Reference 44
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Observation d7747664-d797-4712-bfbe-2d71cf203ae2 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Pytorch: An imperative style, high-performance deep learning library
Reference 45
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Observation 6c8d0af4-4273-4566-8a96-5c3a6b5db2e5 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Learning mesh-based simulation with graph networks
Reference 46
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Observation ab3b5200-d4e6-49dc-94a2-2e5d1f87d467 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Geometry-aware network for non-rigid shape prediction from a single view
Reference 47
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Observation 510051ef-2670-4140-b484-2a6812171cb6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Scalable differentiable physics for learning and control
Reference 48
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Observation 2e1dde73-530f-4843-b0c6-2cdb76ca03d9 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 49
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Observation 751dfdad-d5f0-4df6-ab30-150f9b504002 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Accelerating 3d deep learning with pytorch3d, 2020
Reference 50
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Observation dc2ab998-dbbb-46a8-af13-01a7d1a8eec5 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video SAM 2: Segment Anything in Images and Videos
Reference 51
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Observation 4ea9ffec-68bf-4556-89fb-be779565f2c2 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video How will it drape like? capturing fabric mechanics from depth images.Computer Graphics Forum, 42(2):149–160, 2023
Reference 52
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Observation ac3795db-c29b-4d2c-90d5-5e25487e4954 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video
Reference 53
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Observation 3d96ee9b-1582-4346-a6d6-83718dd88129 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video De- formable surface tracking ambiguities
Reference 54
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Observation c6c2df9a-763f-4a92-89a7-da5f4cec64ba · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Otaduy, and Dan Casas
Reference 55
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Observation c1fca0da-75b9-459e-a380-813695b18d65 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Autoclip: Adaptive gradient clipping for source separation networks
Reference 56
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Observation db551e07-4870-4927-acbe-943c5a11f90c · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Towards multi- layered 3d garments animation
Reference 57
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Observation 938b0742-2c77-4672-bca2-b1c9db8e83cd · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Robusft: Ro- bust real-time shape-from-template, a c++ library.Image and Vision Computing, 141:104867, 2024
Reference 58
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Observation 3dfab2b4-9dad-4cdf-8189-aae2af9fddd9 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Ismo-gan: Adversarial learning for monoc- ular non-rigid 3d reconstruction
Reference 59
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Observation c10fd565-1aaa-43c7-8fd6-9a310c1e11f6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Neural dense non- rigid structure from motion with latent space constraints
Reference 60
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Observation 879e7578-c219-4503-bff6-b7ae7a2dcdd5 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Sobolevfusion: 3d reconstruction of scenes undergoing free non-rigid motion
Reference 61
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Physics- guided Shape-from-Template: Monocular Video Percep- tion through Neural Surrogate Models
Reference 62
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Caphy: Cap- turing physical properties for animatable human avatars
Reference 63
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Observation d473d919-d945-4ee0-bba5-07bf94f6b707 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Sullivan.Curves of Finite Total Curvature, pages 137–161
Reference 64
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Dif- fcloud: Real-to-sim from point clouds with differentiable simulation and rendering of deformable objects
Reference 65
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Observation 00eaf0c5-4c82-4418-b038-6af4b90d37af · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Improved shape-from-template method with perspective space constraints for disappearing features.Complex & Intelligent Systems, pages 1–14, 2024
Reference 66
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Observation 3d6639e1-3ba6-4543-bf9c-07ec446139ba · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video State of the art in dense monocular non-rigid 3d reconstruction.Comput
Reference 67
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Observation 86e3ecfd-e6c5-42eb-97fc-ae79eba4592b · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Huang, Omid Taheri, Michael J
Reference 68
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Observation 3119b876-d398-4c57-874b-ae7d92555a69 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize
Reference 69
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Reference 70
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Observation 22aab2ff-faee-4988-b7ca-7d12b35f39df · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Interdiff: Generating 3d human-object interactions with physics-informed diffusion
Reference 71
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Zhang, Zachary Manchester, and Deva Ramanan
Reference 72
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Observation 8dfbd5d1-a780-4917-8364-f5a41da03cb6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 73
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Observation 5a2c8eec-6754-45c6-a160-f0478f15f213 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Single image surface appearance modeling with self- augmented cnns and inexact supervision
Reference 74
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Observation 616568cf-baf9-4d66-8a1c-4ef969447ac6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Deep reflectance scanning: Recovering spatially-varying mate- rial appearance from a flash-lit video sequence
Reference 75
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
Reference 76
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Observation 283511d1-cc51-4918-bea1-e1e4680ad739 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Physdiff: Physics-guided human motion diffusion model
Reference 77
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Recent trends in 3d reconstruction of general non-rigid scenes
Reference 78
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Iron: Inverse rendering by optimizing neural sdfs and materials from photometric images
Reference 79
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Observation 174a2b0c-5ae2-4160-aa9d-0e975ec688dd · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Physavatar: Learning the physics of dressed 3d avatars from visual observations
Reference 80
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Observation 49db79b0-c868-4c51-97e0-fa462eb844c6 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Adversarial single-image svbrdf estimation with hybrid training
Reference 81
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Observation acd4c994-0a9a-457b-9068-c2911486a78d · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Numerical Integration Scheme For simulation, we discretize the time into constant steps of∆t= 5 msresulting in all time-dependent quantities to be discretized accordingly,e.g
Reference 82
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Observation 42a67235-3f78-478a-9cd7-3a4163a0bad2 · outbound
SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Simulation Scheme As a consequence of the spatial discretization into discrete vertices, the energy terms dependent not only on a single vertex but also on neighboring vertices
Reference 83
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SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video Unresolved cited work
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