Learning an Implicit Physics Model for Image-based Fluid Simulation | Paper Citation Record

Observation a51064d1-25cb-4283-9ca5-e5d5719f899d · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

Learning an Implicit Physics Model for Image-based Fluid Simulation VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 1

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Observation a647483e-c450-4a68-a8b7-829823a50985 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Learning an Implicit Physics Model for Image-based Fluid Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Observation 7e31810b-245e-47be-8cdc-86aa375fe307 · outbound

This paper cites Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models.

Learning an Implicit Physics Model for Image-based Fluid Simulation Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.618586Z

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Observation 02b2244e-65f9-48f2-b3dd-6f81d6473b0a · outbound

This paper cites Everybody dance now.

Learning an Implicit Physics Model for Image-based Fluid Simulation Everybody dance now

Reference 4

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Observation c94f16b9-4b15-486e-9a88-e72cdb334516 · outbound

This paper cites Physics informed neural fields for smoke reconstruction with sparse data.

Learning an Implicit Physics Model for Image-based Fluid Simulation Physics informed neural fields for smoke reconstruction with sparse data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.596207Z

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Observation 87543e3d-a197-402b-81c3-db818897deb2 · outbound

This paper cites Salesin, and Richard Szeliski.

Learning an Implicit Physics Model for Image-based Fluid Simulation Salesin, and Richard Szeliski

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.584878Z

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Observation 32f97304-4500-4943-9132-7aca2f1d274b · outbound

This paper cites Fluid simulation on neural flow maps.

Learning an Implicit Physics Model for Image-based Fluid Simulation Fluid simulation on neural flow maps

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.574184Z

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Observation 69b537ed-9ec4-4597-8f4d-b3d62c926ec9 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

Learning an Implicit Physics Model for Image-based Fluid Simulation Flownet: Learning optical flow with convolutional networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.789372Z

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Observation 1b98f116-98c0-4817-85e9-382132fec12a · outbound

This paper cites Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis.

Learning an Implicit Physics Model for Image-based Fluid Simulation Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.792614Z

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Observation 02111779-85aa-4944-89ee-afa5267ca70d · outbound

This paper cites Simulating fluids in real-world still images.

Learning an Implicit Physics Model for Image-based Fluid Simulation Simulating fluids in real-world still images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.556160Z

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Observation 2c6f4b38-4563-407e-aefc-1b692612fe42 · outbound

This paper cites Global transport for fluid reconstruction with learned self- supervision.

Learning an Implicit Physics Model for Image-based Fluid Simulation Global transport for fluid reconstruction with learned self- supervision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.544043Z

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Observation 8024125e-bd68-42e5-acde-86a4519ed314 · outbound

This paper cites Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision.

Learning an Implicit Physics Model for Image-based Fluid Simulation Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.803157Z

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Observation 539a717e-7470-415f-87b3-91abeafee056 · outbound

This paper cites Srinivasan, Jonathan T.

Learning an Implicit Physics Model for Image-based Fluid Simulation Srinivasan, Jonathan T

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.533323Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d59c760-8f3f-4fe7-94b2-681bc96039d3 · outbound

This paper cites Modeling the dy- namics of pde systems with physics-constrained deep auto- regressive networks.

Learning an Implicit Physics Model for Image-based Fluid Simulation Modeling the dy- namics of pde systems with physics-constrained deep auto- regressive networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.522484Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7d77b06-1798-4000-b022-25d52771197e · outbound

This paper cites Neuroanimator: Fast neural network emulation and con- trol of physics-based models.

Learning an Implicit Physics Model for Image-based Fluid Simulation Neuroanimator: Fast neural network emulation and con- trol of physics-based models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.511107Z

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Observation d74cdaa2-2682-4fc7-8f14-85556bb490e9 · outbound

This paper cites Neurofluid: Fluid dynamics grounding with particle- driven neural radiance fields.

Learning an Implicit Physics Model for Image-based Fluid Simulation Neurofluid: Fluid dynamics grounding with particle- driven neural radiance fields

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.500463Z

Source-reported events for the cited work

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Observation b9ec9a63-b15f-40c9-8057-160f51a47b19 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Learning an Implicit Physics Model for Image-based Fluid Simulation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.820147Z

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Observation e3f79b2a-0bca-4887-988c-da44d425b06b · outbound

This paper cites Video dif- fusion models.

Learning an Implicit Physics Model for Image-based Fluid Simulation Video dif- fusion models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.823826Z

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Observation a7561fc1-624a-46eb-b39b-84e1ce42928f · outbound

This paper cites Animating pictures with eulerian mo- tion fields.

Learning an Implicit Physics Model for Image-based Fluid Simulation Animating pictures with eulerian mo- tion fields

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.483067Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c09cc38-b971-4683-a200-8446ee7031dc · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Learning an Implicit Physics Model for Image-based Fluid Simulation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.830306Z

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Observation aca6f1eb-c4f3-41b0-9324-c6dac8810cdf · outbound

This paper cites Animating still land- scape photographs through cloud motion creation.

Learning an Implicit Physics Model for Image-based Fluid Simulation Animating still land- scape photographs through cloud motion creation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.472191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db95c08b-9d3d-4ac2-8445-56fab0536bee · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Learning an Implicit Physics Model for Image-based Fluid Simulation 3d gaussian splatting for real-time radiance field rendering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.837381Z

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Observation bdc4813d-272e-46b9-b68d-9b64a3a83ebe · outbound

This paper cites 3d cinemagraphy from a sin- gle image.

Learning an Implicit Physics Model for Image-based Fluid Simulation 3d cinemagraphy from a sin- gle image

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.454664Z

Source-reported events for the cited work

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Observation 3407c4ad-fecf-4566-88b5-833f6a8cc7c2 · outbound

This paper cites Graph neural network- accelerated lagrangian fluid simulation.

Learning an Implicit Physics Model for Image-based Fluid Simulation Graph neural network- accelerated lagrangian fluid simulation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.444059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05b3d75c-705a-4f2c-8609-ad0ac39e22e1 · outbound

This paper cites Wonderland: Navigating 3D Scenes from a Single Image.

Learning an Implicit Physics Model for Image-based Fluid Simulation Wonderland: Navigating 3D Scenes from a Single Image

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.847307Z

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Observation 81555280-d935-4e5f-b272-ade68d6b6992 · outbound

This paper cites Physgen: Rigid-body physics-grounded image- to-video generation.

Learning an Implicit Physics Model for Image-based Fluid Simulation Physgen: Rigid-body physics-grounded image- to-video generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.432955Z

Source-reported events for the cited work

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Observation 4818f00c-e093-4283-b023-e1bef5b86168 · outbound

This paper cites Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis.

Learning an Implicit Physics Model for Image-based Fluid Simulation Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.422048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60339ebd-3a89-47f1-968b-6d5c38719627 · outbound

This paper cites Controllable animation of fluid elements in still images.

Learning an Implicit Physics Model for Image-based Fluid Simulation Controllable animation of fluid elements in still images

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.410589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29efaa03-6380-418b-a347-81797b61d085 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Learning an Implicit Physics Model for Image-based Fluid Simulation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.861168Z

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Unavailable: canonical work link unavailable.

Observation c36cff5e-d7f8-4ad9-94d0-8c95461df76e · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

Learning an Implicit Physics Model for Image-based Fluid Simulation Semantic image synthesis with spatially-adaptive nor- malization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.864631Z

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Observation 21d92544-6ee6-4371-a6e6-0048f9d755f9 · outbound

This paper cites Deepmimic: Example-guided deep reinforce- ment learning of physics-based character skills.

Learning an Implicit Physics Model for Image-based Fluid Simulation Deepmimic: Example-guided deep reinforce- ment learning of physics-based character skills

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.386775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 652c0e5d-2aff-4e15-ad5a-0b40aafdeb7c · outbound

This paper cites Raissi, P.

Learning an Implicit Physics Model for Image-based Fluid Simulation Raissi, P

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.376016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b769b4f2-4144-4548-a392-5e46ab659c51 · outbound

This paper cites Vi- sion transformers for dense prediction.

Learning an Implicit Physics Model for Image-based Fluid Simulation Vi- sion transformers for dense prediction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.874972Z

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Observation ae5a47af-eba6-411a-9bc5-a72a537465e5 · outbound

This paper cites Deep image spatial transformation for person image generation.

Learning an Implicit Physics Model for Image-based Fluid Simulation Deep image spatial transformation for person image generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.358285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bff417a-ca4a-43d8-a290-fc4095ff6cfc · outbound

This paper cites Make-it-4d: Synthesizing a consistent long-term dynamic scene video from a single image.

Learning an Implicit Physics Model for Image-based Fluid Simulation Make-it-4d: Synthesizing a consistent long-term dynamic scene video from a single image

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.346862Z

Source-reported events for the cited work

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Observation b83a4b72-b503-41ff-85ee-332eb377440f · outbound

This paper cites 3d photography using context-aware layered depth inpainting.

Learning an Implicit Physics Model for Image-based Fluid Simulation 3d photography using context-aware layered depth inpainting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.335416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 064dcc4f-e67d-42d3-aaf8-e0b228940bb8 · outbound

This paper cites First order motion model for image animation.

Learning an Implicit Physics Model for Image-based Fluid Simulation First order motion model for image animation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.888553Z

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Observation aa7a1ef4-b58d-4d9b-84a8-f81d252548f1 · outbound

This paper cites Very deep con- volutional networks for large-scale image recognition.

Learning an Implicit Physics Model for Image-based Fluid Simulation Very deep con- volutional networks for large-scale image recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.317885Z

Source-reported events for the cited work

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Observation 8fdd602a-a93d-4742-a00c-e50f03291978 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Learning an Implicit Physics Model for Image-based Fluid Simulation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.894749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d0399af-a622-4900-92ae-6677c3cd3ef4 · outbound

This paper cites PhysMotion: Physics-Grounded Dynamics From a Single Image.

Learning an Implicit Physics Model for Image-based Fluid Simulation PhysMotion: Physics-Grounded Dynamics From a Single Image

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.898708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36451817-a1c5-43d7-a75a-08c16fb61eb1 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Learning an Implicit Physics Model for Image-based Fluid Simulation Raft: Recurrent all-pairs field transforms for optical flow

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.902298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 156cc7cf-637d-41f5-a7bd-6668f5c56b98 · outbound

This paper cites Accelerating eulerian fluid simulation with convolutional networks.

Learning an Implicit Physics Model for Image-based Fluid Simulation Accelerating eulerian fluid simulation with convolutional networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.300985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1180c8e4-a113-424a-80c4-08c8c3053a91 · outbound

This paper cites Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize.

Learning an Implicit Physics Model for Image-based Fluid Simulation Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.909013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1f8dc8-a73a-4657-9fb4-4fa7596116f7 · outbound

This paper cites Teaching the incompressible navier–stokes equations to fast neural surrogate models in three dimensions.

Learning an Implicit Physics Model for Image-based Fluid Simulation Teaching the incompressible navier–stokes equations to fast neural surrogate models in three dimensions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.290365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49bab27e-8684-430f-87ef-763cabb93520 · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

Learning an Implicit Physics Model for Image-based Fluid Simulation SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.916049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd214686-c2ae-48df-a574-2965e6e91c64 · outbound

This paper cites Mo- tion dreamer: Realizing physically coherent video genera- tion through scene-aware motion reasoning.

Learning an Implicit Physics Model for Image-based Fluid Simulation Mo- tion dreamer: Realizing physically coherent video genera- tion through scene-aware motion reasoning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.919638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16eba83b-8983-48c5-8641-d96c7ced76d9 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Learning an Implicit Physics Model for Image-based Fluid Simulation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.922943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc50c30f-e056-4180-aff3-527daeefb92f · outbound

This paper cites Inferring hybrid neural fluid fields from videos.

Learning an Implicit Physics Model for Image-based Fluid Simulation Inferring hybrid neural fluid fields from videos

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.279434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d16dff4f-576d-49c9-b8b0-edb54cba09bb · outbound

This paper cites Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, and Charles Her- rmann.

Learning an Implicit Physics Model for Image-based Fluid Simulation Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, and Charles Her- rmann

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.269037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ae87b91-8c1e-40f8-87dc-728897f32f85 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

Learning an Implicit Physics Model for Image-based Fluid Simulation ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:17.933729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a95f4742-a76f-4bf9-b544-76581d140ace · outbound

This paper cites Tomofluid: Reconstructing dynamic fluid from sparse view videos.

Learning an Implicit Physics Model for Image-based Fluid Simulation Tomofluid: Reconstructing dynamic fluid from sparse view videos

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.258308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c873e5cd-800a-4053-8df6-56d592f355ba · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Learning an Implicit Physics Model for Image-based Fluid Simulation The unreasonable effectiveness of deep features as a perceptual metric

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.248029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7565275-7819-4ad8-8ffd-ea5376093a85 · outbound

This paper cites Physdreamer: Physics-based interac- tion with 3d objects via video generation.

Learning an Implicit Physics Model for Image-based Fluid Simulation Physdreamer: Physics-based interac- tion with 3d objects via video generation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.236525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d626c111-a95b-4c0a-8773-0fd5593ef7d0 · outbound

This paper cites Both stages use the Adam optimizer with a 1e-4 learning rate and (0, 0.9) for betas.

Learning an Implicit Physics Model for Image-based Fluid Simulation Both stages use the Adam optimizer with a 1e-4 learning rate and (0, 0.9) for betas

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.224936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 142fdede-9b45-4788-b8b2-a2ebb73cb179 · outbound

This paper cites an unresolved cited work.

Learning an Implicit Physics Model for Image-based Fluid Simulation Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:44:18.214141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2625922-c8bc-4c79-951e-4cfcee2e6370 · outbound

This paper cites The animation part contains an inpainter to inpaint each LDI, an encoder to extract features for each LDI, and a decoder to decode the feature maps rendered by 3D Gaussians.

Learning an Implicit Physics Model for Image-based Fluid Simulation The animation part contains an inpainter to inpaint each LDI, an encoder to extract features for each LDI, and a decoder to decode the feature maps rendered by 3D Gaussians

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.203727Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be77a8ea-3df8-4125-967b-2d3099f7cc33 · outbound

This paper cites Video Results We include video results generated by our methods and baseline methods in the supplementary materials.

Learning an Implicit Physics Model for Image-based Fluid Simulation Video Results We include video results generated by our methods and baseline methods in the supplementary materials

Reference 57

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T17:44:18.192613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 520a5138-3f90-4eec-8a00-9e3bfc320bf4 · outbound

This paper cites In particular, the lack of pressure fields limits its ability to capture interactions such as river merging.

Learning an Implicit Physics Model for Image-based Fluid Simulation In particular, the lack of pressure fields limits its ability to capture interactions such as river merging

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:44:18.181044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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