Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:09:26.217767Z
Paper Citation Record · LEDGER
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.06029.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:15.758987Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:28:15.841296Z
Reference resolution
55 of 55 outbound references displayed
- verified exact1
- verified fuzzy24
- unresolved30
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 812eee19-68e4-4feb-8a99-6071cc6a5fe4 · outbound
This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.059474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd749c36-164b-4e96-9c29-5e6d88b7bfe9 · outbound
This paper cites On Inductive Biases That Enable Generalization of Diffusion Transformers.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training On Inductive Biases That Enable Generalization of Diffusion Transformers
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:09:26.359815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a608900b-f220-4e3f-827e-e57222279721 · outbound
This paper cites Bring Metric Functions into Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Bring Metric Functions into Diffusion Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.065841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 048624cc-8ad7-406f-9e6d-7029b903d33e · outbound
This paper cites Align your latents: High-Resolution Video Synthesis with Latent Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Align your latents: High-Resolution Video Synthesis with Latent Diffusion Models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.593867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 134d1a11-ff1d-4aad-ab6d-d9e231fba72f · outbound
This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.072386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba12f3e2-9e05-44c5-9b51-004e8cca5fd4 · outbound
This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.076081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f352b9e-2658-44f9-b929-f5ef04db577b · outbound
This paper cites Instantsplat: Unbounded sparse-view pose-free gaus- sian splatting in 40 seconds, 2024.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Instantsplat: Unbounded sparse-view pose-free gaus- sian splatting in 40 seconds, 2024
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.079596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95218c3e-97bf-4226-b960-3279becab947 · outbound
This paper cites Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.082918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60684632-ef57-4819-be1d-ab91ec906ca3 · outbound
This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Animatediff: Animate your personalized text-to- image diffusion models without specific tuning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.576861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f43224c7-286e-4da2-b8c0-9fff15ca40f4 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to- Image Diffusion Models without Specific Tuning.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training AnimateDiff: Animate Your Personalized Text-to- Image Diffusion Models without Specific Tuning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.568351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 21b7cc7e-85d0-44f0-9ed7-e5e111cb3b73 · outbound
This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.091643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbde206d-4b82-434c-97bd-2d197a97d0fa · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.559823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a5881420-f2fe-4079-b2e5-33f74b80ea54 · outbound
This paper cites Denoising dif- fusion probabilistic models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Denoising dif- fusion probabilistic models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.098449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3974b29-d660-4819-bdba-ed28a7cf8762 · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Imagen Video: High Definition Video Generation with Diffusion Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.100856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 555a93fc-fbeb-457d-8a6d-dfec23ab2704 · outbound
This paper cites Video Diffu- sion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Video Diffu- sion Models
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.546753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 225a167a-0256-453c-80e2-1ce6740ac057 · outbound
This paper cites Training-free Camera Control for Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Training-free Camera Control for Video Generation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.107083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e2c8c91-5007-4f00-9b6e-c3c4bd05b59d · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training LoRA: Low-Rank Adaptation of Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.110601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cc081ed-7fa9-453c-a603-b87878b6f061 · outbound
This paper cites Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.113046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc0c6c35-d0c3-4433-95c5-e4f45322ce43 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training 3d gaussian splatting for real-time radiance field rendering
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.116001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a61912f-53df-4acf-bb45-68fdeff89234 · outbound
This paper cites Fifo-diffusion: Generating infinite videos from text without training.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Fifo-diffusion: Generating infinite videos from text without training
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.535424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d0c2f7c2-8f9d-4a9a-b5c9-752b71b894f2 · outbound
This paper cites Ground- ing image matching in 3d with mast3r, 2024.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Ground- ing image matching in 3d with mast3r, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.527976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eefe9455-2d78-4554-af60-1c3f56fea41b · outbound
This paper cites Re- conx: Reconstruct any scene from sparse views with video diffusion model, 2024.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Re- conx: Reconstruct any scene from sparse views with video diffusion model, 2024
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.519923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e3e75ca5-70ce-4f5b-a42c-68eddb1187c0 · outbound
This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Repaint: Inpainting using denoising diffusion probabilistic models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.513442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cb6b4f51-dc86-41c7-8115-f263766fe271 · outbound
This paper cites Srinivasan, Matthew Tancik, Jonathan T.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Srinivasan, Matthew Tancik, Jonathan T
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.127144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92a1db0b-14e9-4e8b-9e67-735d6f378de5 · outbound
This paper cites Improved denoising diffusion probabilistic models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Improved denoising diffusion probabilistic models
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cb675ce-d5fe-4ee3-8260-719895cedfa1 · outbound
This paper cites Scalable diffusion models with transformers.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Scalable diffusion models with transformers
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.131900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f72b536e-3171-4599-ab0e-b9d4c29d858c · outbound
This paper cites Accelerating 3D Deep Learning with PyTorch3D.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Accelerating 3D Deep Learning with PyTorch3D
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.134277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aeb3646-7e2c-4b3e-aee5-70cf8e95e082 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training U-net: Convolutional networks for biomedical image segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.494012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eb6aaded-c9a7-4cea-bcb3-a65e66330b43 · outbound
This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Dragdiffusion: Harnessing diffusion models for interactive point-based image editing
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.486480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 24d1f096-4339-479d-acef-ab702819c9b9 · outbound
This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.477195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 53a27d15-ca11-41a4-8eae-72eabb4ef455 · outbound
This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.146544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ec0f422-616f-4b5b-91e8-9ccd9631c7e3 · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Deep unsupervised learning using nonequilibrium thermodynamics
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.149774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b0058a-7bf1-482e-9680-622cf9348f5a · outbound
This paper cites Denoising Diffusion Implicit Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Denoising Diffusion Implicit Models
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 152fe9ef-0338-4c97-b18b-b022e92f040c · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Score-Based Generative Modeling through Stochastic Differential Equations
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.155309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec924fe2-73c1-4ef0-bc97-34fd4b38899d · outbound
This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.158396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18e8b20e-f38d-473a-9b96-31a6a1a44cca · outbound
This paper cites Phenaki: Variable Length Video Generation from Open Do- main Textual Description.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Phenaki: Variable Length Video Generation from Open Do- main Textual Description
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.466062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 356554c1-71d8-44d6-b411-2678b8681ca5 · outbound
This paper cites MCVD-Masked Conditional Video Diffusion for Pre- diction, Generation, and Interpolation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training MCVD-Masked Conditional Video Diffusion for Pre- diction, Generation, and Interpolation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.457433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0a8dfdf0-cba8-4dfc-9a98-6f7f74f4c223 · outbound
This paper cites Dust3r: Geometric 3d vi- sion made easy.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Dust3r: Geometric 3d vi- sion made easy
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.448953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 939a4f95-f6ed-424b-abd9-082d3cf96539 · outbound
This paper cites VideoComposer: Compositional Video Synthesis with Motion Controllability.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training VideoComposer: Compositional Video Synthesis with Motion Controllability
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.441108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 550446b2-3e6b-4da4-ac66-8e473776fc9e · outbound
This paper cites Motionctrl: A unified and flexible motion controller for video generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Motionctrl: A unified and flexible motion controller for video generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.432430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 85e2739c-649f-432c-b1fa-744cd63f0157 · outbound
This paper cites Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.425544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2590fe22-3bae-4736-85ee-4e428214c23b · outbound
This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.178025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd40c098-42b4-4013-b9ff-cb5d317d51ac · outbound
This paper cites Direct-a-video: Customized video generation with user- directed camera movement and object motion.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Direct-a-video: Customized video generation with user- directed camera movement and object motion
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.418277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55f58ed6-41fb-4c12-8da5-378d14c6cd3d · outbound
This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.184389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e83e1f48-76e9-4652-b2af-b5e015e576f6 · outbound
This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.187222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d410265e-3b9e-4337-b12e-401add4067fe · outbound
This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.190032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1130f18-a86c-48ce-9ced-e628cbf40f9f · outbound
This paper cites ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.192738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26e1618f-0236-45a3-9ae0-79b1fb0bda40 · outbound
This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.195788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca5addaa-c94e-4e1c-b84f-e915a73c9fc8 · outbound
This paper cites GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.198399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 495511b9-182f-4105-a368-40eb1a8cbb5f · outbound
This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Stereo Magnification: Learning View Synthesis using Multiplane Images
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:09:26.201718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 184b73bf-6bbb-4cf3-9afe-5cefe9fc8627 · outbound
This paper cites Denoising is conducted using the video diffusion model until reaching the predetermined latent reframing step, which is step 8.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training Denoising is conducted using the video diffusion model until reaching the predetermined latent reframing step, which is step 8
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.409363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 816b8473-d6a2-42f7-a70a-1ff99592800e · outbound
This paper cites 3.2, is then applied to generate the reframed video at the target camera pose.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training 3.2, is then applied to generate the reframed video at the target camera pose
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.400492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1c7457cd-8c84-4135-931d-9674c5488aae · outbound
This paper cites As outlined in Sec.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training As outlined in Sec
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.391325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 33654b29-9b04-4df5-8b32-2184c0a07842 · outbound
This paper cites At this stage, the input to the denoising network combines un- known and known regions, as described in Eq.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training At this stage, the input to the denoising network combines un- known and known regions, as described in Eq
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.383889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1609c16c-0273-4805-aabb-216b985fda7c · outbound
This paper cites After this, the known region is no longer merged.
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training After this, the known region is no longer merged
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:09:26.375955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation caa02212-344e-4660-858c-66f50bb2be53 · inbound
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance cites this paper.
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
Reference 86
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:28:15.897713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.