Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:42:06.691061Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 3 inbound Pith citation observations for arXiv:2502.03465.
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 2026-08-09T04:42:06.691061Z
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 2026-07-03T16:39:30.320307Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:48:39.678334Z
96 of 96 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 42b8bf56-8f02-43e9-9901-8227f5a313f1 · outbound
Seeing World Dynamics in a Nutshell Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Reference 1
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Unavailable: canonical work link unavailable.
Observation e12fadcf-51da-4a5c-b584-4ab1e0be4858 · outbound
Seeing World Dynamics in a Nutshell Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Reference 2
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Unavailable: canonical work link unavailable.
Observation a50bbf49-d696-4d4b-a304-640b75ef69fd · outbound
Seeing World Dynamics in a Nutshell ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Reference 3
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Unavailable: canonical work link unavailable.
Observation dcefa307-ea73-4390-93e8-acaa5d1361ff · outbound
Seeing World Dynamics in a Nutshell Nope-nerf: Optimising neural radiance field with no pose prior
Reference 4
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Unavailable: canonical work link unavailable.
Observation deb6dbd8-d8c3-4f65-ab9a-316084c7a828 · outbound
Seeing World Dynamics in a Nutshell The essential guide to video process- ing
Reference 5
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Observation 20011af1-cb7a-46be-ae9f-1ca6600a9833 · outbound
Seeing World Dynamics in a Nutshell Pix2video: Video editing using image diffusion
Reference 6
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Observation e55955ee-1638-4657-9398-66790a810c44 · outbound
Seeing World Dynamics in a Nutshell pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d recon- struction
Reference 7
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Observation 8a153380-aa41-472a-b42f-d93b78d6ce3f · outbound
Seeing World Dynamics in a Nutshell Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Reference 8
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Observation 6b42d09a-ec90-428e-b226-fe44de48a346 · outbound
Seeing World Dynamics in a Nutshell Learning continuous image representation with local implicit image function
Reference 9
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Observation 620b889a-92e4-4b17-8309-fe111d6b98b5 · outbound
Seeing World Dynamics in a Nutshell Mvsplat: Efficient 3d gaus- sian splatting from sparse multi-view images
Reference 10
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Observation 8985eb3d-2c8a-4ab7-bfa9-21f27b6995b6 · outbound
Seeing World Dynamics in a Nutshell Depth-regularized optimization for 3d gaussian splatting in few-shot images
Reference 11
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Observation b4eed89e-7092-4270-9fbb-da9c77916f7b · outbound
Seeing World Dynamics in a Nutshell FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 12
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Observation 14b8700e-5e67-4a64-ab30-5d3a1eaf9298 · outbound
Seeing World Dynamics in a Nutshell Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality
Reference 13
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Observation 92c2973e-9797-4a16-b684-0b920b5eceaf · outbound
Seeing World Dynamics in a Nutshell Flashattention: Fast and memory- efficient exact attention with io-awareness
Reference 14
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Observation 7d32c1ee-74ff-46af-8778-afd162f54925 · outbound
Seeing World Dynamics in a Nutshell Video frame interpolation: A comprehensive survey
Reference 15
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Observation 3f14588a-1c76-42d7-8f84-dff03d170ade · outbound
Seeing World Dynamics in a Nutshell An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 16
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Observation 24e88b25-618b-4916-9e99-584b51deece5 · outbound
Seeing World Dynamics in a Nutshell 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Reference 17
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Observation f7ec6eed-f792-4062-a01f-6486984c6fd7 · outbound
Seeing World Dynamics in a Nutshell Slowfast networks for video recog- nition
Reference 18
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Observation 9056a37d-d02e-4b36-bdd4-827044e8f1fc · outbound
Seeing World Dynamics in a Nutshell Guiding Instruction-based Image Editing via Multimodal Large Language Models
Reference 19
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Observation 9f67e14c-d5bb-4dba-b115-b06246acb6d3 · outbound
Seeing World Dynamics in a Nutshell Efros, and Xiaolong Wang
Reference 20
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Observation 37191db0-3656-4cf7-bc04-dfc306d3ea05 · outbound
Seeing World Dynamics in a Nutshell Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Reference 21
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Observation d9c24b25-06e9-4914-814b-6b9cf19742b7 · outbound
Seeing World Dynamics in a Nutshell Epipolar transformers
Reference 22
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Observation 5defd2c5-b997-4eeb-95a2-852aaf32854d · outbound
Seeing World Dynamics in a Nutshell SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
Reference 23
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Observation 8b7b1303-dcf2-42e6-88a8-b3fd5dd53a92 · outbound
Seeing World Dynamics in a Nutshell 2d gaussian splatting for geometrically accurate radiance fields
Reference 24
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Observation 08d67b0b-f49d-4405-931e-24950e791358 · outbound
Seeing World Dynamics in a Nutshell VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Reference 25
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Observation 730c1454-cb7b-40d9-a087-718dd3bfe81f · outbound
Seeing World Dynamics in a Nutshell ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Reference 26
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Observation 1ae5add8-dcdd-4b0c-890b-2bb215ab816a · outbound
Seeing World Dynamics in a Nutshell Miradata: A large-scale video dataset with long durations and structured captions, 2024
Reference 27
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Observation 1b7ace72-fb48-44d6-bf7f-dd4ce317006b · outbound
Seeing World Dynamics in a Nutshell CoTracker: It is Better to Track Together
Reference 28
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Observation 72c744bb-0ded-4a18-a237-e46231c4e1d9 · outbound
Seeing World Dynamics in a Nutshell A compact dynamic 3d gaussian representation for real-time dynamic view synthesis
Reference 29
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Observation fbbef58f-edc0-4068-af8a-ba39cc24ad6e · outbound
Seeing World Dynamics in a Nutshell 3d gaussian splatting for real-time radiance field rendering
Reference 30
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Observation 3ff3a1e4-0c38-45fc-a432-fae4d26c9549 · outbound
Seeing World Dynamics in a Nutshell Segment anything
Reference 31
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Observation 9d25d3fb-2fcf-405c-94c3-f6460f861a07 · outbound
Seeing World Dynamics in a Nutshell VideoPoet: A Large Language Model for Zero-Shot Video Generation
Reference 32
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Observation 3c508e89-6f7c-4944-ab23-0d69bb97fbe9 · outbound
Seeing World Dynamics in a Nutshell Dynmf: Neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting
Reference 33
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Observation b5d1f380-e266-46aa-bffd-1f7201ff8bcb · outbound
Seeing World Dynamics in a Nutshell MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds
Reference 34
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Observation d1a53d39-11d2-4e9d-8370-794775522ff7 · outbound
Seeing World Dynamics in a Nutshell Grounding image matching in 3d with mast3r, 2024
Reference 35
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Observation 8d441458-dfa1-47e2-9315-abbb62b119f5 · outbound
Seeing World Dynamics in a Nutshell VDG: Vision-Only Dynamic Gaussian for Driving Simulation
Reference 36
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Observation 03436b52-eacd-4c2d-b184-2bce1e112e2a · outbound
Seeing World Dynamics in a Nutshell Barf: Bundle-adjusting neural ra- diance fields
Reference 37
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Observation 3f6146c7-1f5f-4905-89ed-c0068ec9559c · outbound
Seeing World Dynamics in a Nutshell Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision
Reference 38
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Observation 18b3a2c6-75cb-4bf2-8f71-ca0f5538e04e · outbound
Seeing World Dynamics in a Nutshell In- finite nature: Perpetual view generation of natural scenes from a single image
Reference 39
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Observation fd3b820e-c92a-40e6-a208-f8a995176832 · outbound
Seeing World Dynamics in a Nutshell Robust dynamic radiance fields
Reference 40
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Observation c25bdcb6-b276-41af-b1df-f3b69a9f4b6f · outbound
Seeing World Dynamics in a Nutshell Video frame interpolation with trans- former
Reference 41
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Observation 322249ad-b121-487f-8f3b-1724ea68f7ab · outbound
Seeing World Dynamics in a Nutshell Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time
Reference 42
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Observation 8729d94d-3d95-4f4d-aad4-f9c3386c1eb3 · outbound
Seeing World Dynamics in a Nutshell Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 43
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Observation ca11b983-5d4c-4d32-8b77-89a6332096f1 · outbound
Seeing World Dynamics in a Nutshell Codef: Content deformation fields for temporally consistent video processing
Reference 44
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Observation 1d584f28-07a7-4a6c-a826-000214429ad4 · outbound
Seeing World Dynamics in a Nutshell Global structure-from-motion revisited
Reference 45
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Observation ff8a7924-f458-4a5a-8405-7b6c8c939ec3 · outbound
Seeing World Dynamics in a Nutshell Fatezero: Fusing attentions for zero-shot text-based video editing
Reference 46
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Observation 8fca8b7f-b97b-413f-b1cf-97aaef739ac8 · outbound
Seeing World Dynamics in a Nutshell Langsplat: 3d language gaussian splatting
Reference 47
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Observation b5713bd9-5eb7-42b7-a876-782402686a8f · outbound
Seeing World Dynamics in a Nutshell Learning transferable visual models from natural language supervision
Reference 48
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Observation f6237e84-1908-496c-861d-a2437033c28b · outbound
Seeing World Dynamics in a Nutshell Towards robust monocular depth estimation: Mixing datasets for zero- shot cross-dataset transfer
Reference 49
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Observation f44b7a4c-22b0-45c7-afbf-df2d682c243b · outbound
Seeing World Dynamics in a Nutshell L4GM: Large 4D Gaussian Reconstruction Model
Reference 50
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Observation 3ef2129b-4510-493e-840f-4f3edd287950 · outbound
Seeing World Dynamics in a Nutshell Structure-from-motion revisited
Reference 51
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Observation 4e45abf3-a70c-4293-a6a4-368978f7db6a · outbound
Seeing World Dynamics in a Nutshell Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
Reference 52
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Observation d8bab95f-56d3-4311-ac56-fc7d63a5d5cb · outbound
Seeing World Dynamics in a Nutshell Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally
Reference 53
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Observation 3f77ec94-e623-49fd-b04c-3d66930f0d68 · outbound
Seeing World Dynamics in a Nutshell Real-time single image and video super-resolution using an efficient sub-pixel convolu- tional neural network
Reference 54
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Observation c9347589-9d6c-4cea-9a72-502ecec458f5 · outbound
Seeing World Dynamics in a Nutshell Implicit neural representations with periodic activation functions.Ad- vances in neural information processing systems , 33: 7462–7473, 2020
Reference 55
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Seeing World Dynamics in a Nutshell Low-Memory Neural Network Training: A Technical Report
Reference 56
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Observation 23695a65-d542-4595-8a46-820a813ec8f7 · outbound
Seeing World Dynamics in a Nutshell Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Reference 57
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Observation c0e5740f-17c1-4b5f-817f-95ab91e716a0 · outbound
Seeing World Dynamics in a Nutshell From Sora What We Can See: A Survey of Text-to-Video Generation
Reference 58
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Observation 03b79392-6347-4e8d-934c-fd9dc177d0ce · outbound
Seeing World Dynamics in a Nutshell Splatter a Video: Video Gaussian Representation for Versatile Processing
Reference 59
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Observation d781d35f-e16a-4e81-b964-224a0138b7de · outbound
Seeing World Dynamics in a Nutshell Splatter image: Ultra-fast single- view 3d reconstruction
Reference 60
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Observation 2933a908-2261-49b1-b8d8-2f7f15239026 · outbound
Seeing World Dynamics in a Nutshell Fourier features let networks learn high fre- quency functions in low dimensional domains
Reference 61
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Seeing World Dynamics in a Nutshell Lgm: Large multi- view gaussian model for high-resolution 3d content creation
Reference 62
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Seeing World Dynamics in a Nutshell Digital video processing
Reference 63
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Seeing World Dynamics in a Nutshell The interpretation of structure from motion
Reference 64
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Seeing World Dynamics in a Nutshell Attention is all you need
Reference 65
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Seeing World Dynamics in a Nutshell Vggsfm: Visual geometry grounded deep structure from motion
Reference 66
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Seeing World Dynamics in a Nutshell Tracking everything everywhere all at once
Reference 67
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Seeing World Dynamics in a Nutshell Shape of motion: 4d reconstruction from a single video
Reference 68
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Seeing World Dynamics in a Nutshell Dust3r: Geometric 3d vision made easy
Reference 69
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Seeing World Dynamics in a Nutshell GFlow: Recovering 4D World from Monocular Video
Reference 70
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Seeing World Dynamics in a Nutshell Mvster: Epipolar transformer for efficient multi-view stereo
Reference 71
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Seeing World Dynamics in a Nutshell NeRF--: Neural Radiance Fields Without Known Camera Parameters
Reference 72
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Seeing World Dynamics in a Nutshell latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Reference 73
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Seeing World Dynamics in a Nutshell 4d gaussian splatting for real- time dynamic scene rendering
Reference 74
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Seeing World Dynamics in a Nutshell Unifying flow, stereo and depth estimation
Reference 75
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Observation 31cbb260-50bb-4961-a559-ad6b3e2c3c85 · outbound
Seeing World Dynamics in a Nutshell GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
Reference 76
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Reference 77
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Seeing World Dynamics in a Nutshell Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Reference 78
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Seeing World Dynamics in a Nutshell Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Reference 79
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Seeing World Dynamics in a Nutshell Joint feature learning and rela- tion modeling for tracking: A one-stream framework
Reference 80
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Seeing World Dynamics in a Nutshell Deformable sprites for unsupervised video decomposition
Reference 81
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Seeing World Dynamics in a Nutshell Invariant training 2d-3d joint hard samples for few-shot point cloud recognition
Reference 82
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Seeing World Dynamics in a Nutshell MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
Reference 83
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Seeing World Dynamics in a Nutshell Diffusion time- step curriculum for one image to 3d generation
Reference 84
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Observation dc4e639e-a1d6-4bd4-a527-dea8c00da243 · outbound
Seeing World Dynamics in a Nutshell Mip-splatting: Alias-free 3d gaussian splatting
Reference 85
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Seeing World Dynamics in a Nutshell Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Reference 86
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Seeing World Dynamics in a Nutshell Revisiting BFloat16 Training
Reference 87
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Seeing World Dynamics in a Nutshell TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers
Reference 88
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Observation 91bd1477-fd10-4881-9828-44c8f7b8a119 · outbound
Seeing World Dynamics in a Nutshell A comprehensive survey of vision-based hu- man action recognition methods
Reference 89
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Observation 9669d1b6-64c7-4fe8-811e-dd4cee3c1de6 · outbound
Seeing World Dynamics in a Nutshell MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Reference 90
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Observation 3d21e7ff-8acc-4f10-9b8d-0417066dc635 · outbound
Seeing World Dynamics in a Nutshell Gs- lrm: Large reconstruction model for 3d gaussian splat- ting
Reference 91
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Observation c30b4075-d595-43ab-a640-9ac03f375fb1 · outbound
Seeing World Dynamics in a Nutshell The unreasonable ef- fectiveness of deep features as a perceptual metric
Reference 92
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Observation 8e367b95-c5a9-4451-b8bd-2c4f52e02348 · outbound
Seeing World Dynamics in a Nutshell Stereo Magnification: Learning View Synthesis using Multiplane Images
Reference 93
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Observation 67b3de61-3c6f-49b0-86f8-2cfcc2f2d13b · outbound
Seeing World Dynamics in a Nutshell Fsgs: Real-time few-shot view synthesis using gaussian splatting
Reference 94
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Observation 6a875c70-98cb-4019-bf98-2602474f002c · outbound
Seeing World Dynamics in a Nutshell Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats
Reference 95
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Observation 5ac798d8-5a57-4fc2-932a-3e21ffb81384 · outbound
Seeing World Dynamics in a Nutshell Ewa splatting
Reference 96
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Observation 757db236-f383-4d7c-9044-5dc169783a9f · inbound
Diff4Splat: Controllable 4D Scene Generation with Latent Dynamic Reconstruction Models Seeing World Dynamics in a Nutshell
Reference 69
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Observation ee5c5119-aa6e-4d9e-b5fa-82f32aaeb2b2 · inbound
Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction Seeing World Dynamics in a Nutshell
Reference 83
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Observation a0193f2a-5ef4-44bf-805a-2e799eb19966 · inbound
Unified Panoramic-Gaussian Representation for Monocular 4D Scene Synthesis Seeing World Dynamics in a Nutshell
Reference 63
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