Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation | Paper Citation Record

Observation f0d36c8f-b4fc-4d38-b266-05988e4efbfc · outbound

This paper cites Cognitive neuroscience of human counterfactual reasoning,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Cognitive neuroscience of human counterfactual reasoning,

Reference 1

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Observation 58ef9d79-3000-40fa-bc29-2b1299a4ea35 · outbound

This paper cites Mental models and counterfactual thoughts about what might have been,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Mental models and counterfactual thoughts about what might have been,

Reference 2

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Observation 6011ce36-c271-42c7-b81b-c7e437dc73a9 · outbound

This paper cites Useful counterfactuals,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Useful counterfactuals,

Reference 3

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Observation 5e14c3fd-9034-4c7b-84a7-c6eb48e5de5b · outbound

This paper cites Auto-Encoding Variational Bayes.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Auto-Encoding Variational Bayes

Reference 4

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Observation 1173bdc6-ad6e-46b8-ae26-6c4eb08dcfa2 · outbound

This paper cites V ariational inference: A review for statisticians,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation V ariational inference: A review for statisticians,

Reference 5

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Observation c9364d29-0f7b-47ea-9921-962852e631dd · outbound

This paper cites Denoising diffusion probabilistic models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Denoising diffusion probabilistic models,

Reference 6

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Observation 132f047f-35b9-4d84-bbd3-e606599f9d32 · outbound

This paper cites Diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Diffusion models,

Reference 7

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Observation a2c6d79d-8578-4039-b4fc-6b50401d783b · outbound

This paper cites Denoising Diffusion Implicit Models.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Denoising Diffusion Implicit Models

Reference 8

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Observation 42ca666a-ac4c-478a-9ff2-93f516dc2736 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation High-resolution image synthesis with latent diffusion models,

Reference 9

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Observation 459828b8-9d79-4f54-800b-4d21c66a666f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation U-net: Convolutional networks for biomedical image segmentation,

Reference 10

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Observation 05012135-609c-4070-93e3-c3782955f4b8 · outbound

This paper cites Attention is all you need,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Attention is all you need,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.294905Z

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Observation d81e5e83-2a50-4c3c-be1e-c53d6a671560 · outbound

This paper cites Adding conditional control to text-to-image diffusion mod- els,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Adding conditional control to text-to-image diffusion mod- els,

Reference 12

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Observation d9a716b6-becb-4296-a2b5-1074bc3cce44 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Paint by example: Exemplar-based image editing with diffusion models,

Reference 13

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Observation 7448efe1-6627-4c40-b703-991acfd80501 · outbound

This paper cites Mobi: Multimodal object inpainting using diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Mobi: Multimodal object inpainting using diffusion models,

Reference 14

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Observation 4e1e0fdd-e695-4894-a4f8-f915881a5d40 · outbound

This paper cites Challenges in autonomous vehicle testing and validation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Challenges in autonomous vehicle testing and validation,

Reference 15

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Observation 7af4da9b-6bfc-4158-bd19-62dd13255402 · outbound

This paper cites AnyDoor: Zero-shot Object-level Image Customization.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation AnyDoor: Zero-shot Object-level Image Customization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.315287Z

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Observation 5922b2a4-342e-4bfa-8d1f-39c288db6ded · outbound

This paper cites Magic Insert: Style-Aware Drag-and-Drop.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Magic Insert: Style-Aware Drag-and-Drop

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.319799Z

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Observation a1948f14-8ec2-4bf1-a86b-387335ecfef8 · outbound

This paper cites Putting People in Their Place: Affordance-Aware Human Insertion into Scenes.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Putting People in Their Place: Affordance-Aware Human Insertion into Scenes

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:27.391303Z

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Observation 9a7c9139-a823-44bd-a296-5ac09271b015 · outbound

This paper cites CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.328559Z

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Observation 228664f1-99e6-4d9d-8977-9a54d8f37de9 · outbound

This paper cites Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:27.355989Z

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Observation db1e9758-cc22-4aa6-8f9a-f3fbacde59ba · outbound

This paper cites Scene-Conditional 3D Object Stylization and Composition.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Scene-Conditional 3D Object Stylization and Composition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:27.335283Z

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Observation 559b2057-ec8c-4282-a5c0-0e913c5dbdc2 · outbound

This paper cites Editable scene simulation for autonomous driving via collaborative llm-agents,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Editable scene simulation for autonomous driving via collaborative llm-agents,

Reference 22

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Observation 5a5db670-2e25-4909-9c2e-0b290b0eea1a · outbound

This paper cites Geosim: Realistic video simulation via geometry-aware com- position for self-driving,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Geosim: Realistic video simulation via geometry-aware com- position for self-driving,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.346306Z

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Observation 2eea4b1e-9794-4cac-95ab-09cf3f28280a · outbound

This paper cites Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 24

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Observation 9f3bbb6c-5b56-4fe0-9995-c55cfa8f4cb1 · outbound

This paper cites Multitest: Physical-aware object insertion for testing multi-sensor fusion perception systems,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Multitest: Physical-aware object insertion for testing multi-sensor fusion perception systems,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.354700Z

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Observation 625f83a2-6a94-4094-9881-e2a93cd6bdc3 · outbound

This paper cites Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.358886Z

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Observation 24e32757-cf36-43b4-837c-c17fbd85bba3 · outbound

This paper cites an unresolved cited work.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Unresolved cited work

Reference 27

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Observation 7ea0bbac-69c6-4328-828d-510373633fed · outbound

This paper cites Neurad: Neural rendering for autonomous driving,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Neurad: Neural rendering for autonomous driving,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:28.023268Z

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Observation 79a220d3-6c64-40ef-aa6d-75c60e29fb17 · outbound

This paper cites Unisim: A neural closed-loop sensor simulator,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Unisim: A neural closed-loop sensor simulator,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:28.009411Z

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Observation b7c2c19d-20a9-429d-8108-9515bfbb03f3 · outbound

This paper cites Diffusion models are geometry critics: Single image 3d editing using pre-trained diffusion priors,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Diffusion models are geometry critics: Single image 3d editing using pre-trained diffusion priors,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.996089Z

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Observation 2579120d-f968-4c9c-b662-4e3a319cc76d · outbound

This paper cites Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.378264Z

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Observation 50c99053-bd4e-4424-ae27-2bc61f496b46 · outbound

This paper cites Image sculpting: Precise object editing with 3d geometry control,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Image sculpting: Precise object editing with 3d geometry control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.982419Z

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Observation bb41aeed-78b1-4322-ac8a-e5af65299afb · outbound

This paper cites Diffusion han- dles enabling 3d edits for diffusion models by lifting activations to 3d,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Diffusion han- dles enabling 3d edits for diffusion models by lifting activations to 3d,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.968558Z

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Observation 7d0ed862-dda8-425e-a75b-efc800f68996 · outbound

This paper cites Object 3dit: Language- guided 3d-aware image editing,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Object 3dit: Language- guided 3d-aware image editing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.953977Z

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Observation 5c87a31f-4619-46a9-a410-ad57514986d0 · outbound

This paper cites CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:27.215202Z

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Observation 53e7f7a2-a707-4a1e-8fc7-d305ec38bea5 · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.398731Z

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Observation 0efba9dd-c046-42e9-9966-442b915e3f49 · outbound

This paper cites DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.402608Z

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Observation f5a18415-a9aa-48ee-8a5d-6340c0d6dee5 · outbound

This paper cites Panacea: Panoramic and Controllable Video Generation for Autonomous Driving.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Panacea: Panoramic and Controllable Video Generation for Autonomous Driving

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.406416Z

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Observation 4da80d98-ee44-4c99-8350-590c5dcd2943 · outbound

This paper cites Text2Street: Controllable Text-to-image Generation for Street Views.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Text2Street: Controllable Text-to-image Generation for Street Views

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.410324Z

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Observation 6fdc2024-8845-4762-9848-7265139205df · outbound

This paper cites SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.414109Z

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Observation c6ebc59e-7e7a-4ef2-8f76-f25fb61f7b04 · outbound

This paper cites DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.418036Z

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Observation 7f526eea-6928-4fe3-b6aa-689e060d50f4 · outbound

This paper cites an unresolved cited work.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:12:27.940293Z

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Observation d873b565-0aeb-42d6-b555-45e37db95f62 · outbound

This paper cites Learning to Generate Realistic LiDAR Point Clouds.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Learning to Generate Realistic LiDAR Point Clouds

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.431130Z

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Observation 440a0825-c64f-4605-8df5-841d2e6972e6 · outbound

This paper cites RangeLDM: Fast Realistic LiDAR Point Cloud Generation.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation RangeLDM: Fast Realistic LiDAR Point Cloud Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.435326Z

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Observation 31eda483-9432-4261-a742-a107abebe9fb · outbound

This paper cites UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.439471Z

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Observation 17c4b21c-7899-4f86-b94a-4089286750c2 · outbound

This paper cites an unresolved cited work.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.443296Z

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Observation 6fbcc043-8f52-44b9-b789-56a0e58dcb6e · outbound

This paper cites X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.447316Z

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Observation ca8553f1-0d03-4bca-9373-64325d27aefd · outbound

This paper cites GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.451811Z

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Observation a3256dee-8582-4f94-a8bb-af88110c72dd · outbound

This paper cites BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.456782Z

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Observation aa7f6fb2-245a-47c1-9373-313e8a2afe15 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.926851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 665017ff-3267-4db1-b8f0-2565070b8262 · outbound

This paper cites Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:26.874188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2aa490a-496d-47aa-b6e5-535070da8458 · outbound

This paper cites Synthesizing Training Data for Object Detection in Indoor Scenes.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Synthesizing Training Data for Object Detection in Indoor Scenes

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:26.847157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea3ee91b-1320-4a49-a75b-089a231b47a3 · outbound

This paper cites Cut, paste and learn: Surprisingly easy synthesis for instance detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Cut, paste and learn: Surprisingly easy synthesis for instance detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.913865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d69e29a-9118-4da6-90a9-d4442eacc424 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Simple copy-paste is a strong data augmentation method for instance segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.901440Z

Source-reported events for the cited work

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Observation dc3edda2-1a6f-494f-8686-e4827624c36b · outbound

This paper cites Pointaugmenting: Cross-modal augmentation for 3d ob- ject detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Pointaugmenting: Cross-modal augmentation for 3d ob- ject detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.888698Z

Source-reported events for the cited work

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Observation 13c249ba-afcc-4bf4-af9e-9d61623e935c · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Second: Sparsely embedded convolutional detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.874960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43830762-797c-4e39-8a87-4cd00f54bd31 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Cutmix: Regularization strategy to train strong classifiers with localizable features,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.861937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1be9cc99-987f-449a-b6a2-064305cc9f69 · outbound

This paper cites Exploring Data Augmentation for Multi-Modality 3D Object Detection.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Exploring Data Augmentation for Multi-Modality 3D Object Detection

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:26.826848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43cab671-8ca4-41ed-bdc8-8d15d3268c4d · outbound

This paper cites Exploring geometric consistency for monocular 3d object detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Exploring geometric consistency for monocular 3d object detection,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.848938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fbf189d-9da0-47c0-ab96-6e9d69d7f778 · outbound

This paper cites BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.500187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 172fc67f-68f3-4f05-861c-8636228c157f · outbound

This paper cites Synthetic lidar point cloud generation using deep gener- ative models for improved driving scene object recognition,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Synthetic lidar point cloud generation using deep gener- ative models for improved driving scene object recognition,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.835761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e9dda35-df5c-468c-87c8-f1c459ae68b0 · outbound

This paper cites Deep unsupervised learning us- ing nonequilibrium thermodynamics,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Deep unsupervised learning us- ing nonequilibrium thermodynamics,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.822803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7647ef1-58fd-4ad2-8392-46701237c7e8 · outbound

This paper cites Nuscenes: A multimodal dataset for autonomous driv- ing,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Nuscenes: A multimodal dataset for autonomous driv- ing,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.809154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8db81fc7-e71e-470a-8fb8-ddeb48588b69 · outbound

This paper cites Deep residual learning for image recognition,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Deep residual learning for image recognition,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.796118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0fceecea-0de9-4533-b1ea-166f849014c7 · outbound

This paper cites T aming transformers for high-resolution image synthe- sis,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation T aming transformers for high-resolution image synthe- sis,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.783016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 085e34ed-1f76-41ef-8104-923420569f2c · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Learning transferable visual models from natural lan- guage supervision,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.769742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e12a163-63b7-4b69-bded-53bbc50fecb6 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation DINOv2: Learning Robust Visual Features without Supervision

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.527021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d3084c9-a1b4-421b-a10f-7d39d7c36d55 · outbound

This paper cites Flamingo: A visual language model for few-shot learn- ing,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Flamingo: A visual language model for few-shot learn- ing,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.756311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efb2661f-ddac-4751-91af-d9be604bc133 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Classifier-Free Diffusion Guidance

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.534376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905b1424-2e25-4b7d-a478-c8713e83b3fe · outbound

This paper cites Placing Objects in Context via Inpainting for Out-of-distribution Segmentation.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Placing Objects in Context via Inpainting for Out-of-distribution Segmentation

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:26.760867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation deb29c18-94b7-4a99-8328-d9f17bc7a84a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.741731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ff655d4-aa70-409a-97ef-85d27f3cd555 · outbound

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

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.728921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 349750d0-683d-4334-8223-7b67ba361d9b · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.716025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65aa90ae-2685-413e-8672-02aac098479b · outbound

This paper cites Going deeper with convolutions,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Going deeper with convolutions,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.702772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 469af669-6a9f-4dbb-9e76-f69d5b8e9195 · outbound

This paper cites Lidar data synthesis with denoising diffusion probabilistic mod- els,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Lidar data synthesis with denoising diffusion probabilistic mod- els,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.690214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c933eaf-22c3-4b0e-adff-a63bb847e317 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.677454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ca37b34-c9e1-43d6-8b3b-6f96d04cf904 · outbound

This paper cites Controllable and efficient multi-class pathology nuclei data augmenta- tion using text-conditioned diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Controllable and efficient multi-class pathology nuclei data augmenta- tion using text-conditioned diffusion models,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.663788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03fded4e-eda5-42c6-bc66-0f536ceda224 · outbound

This paper cites Prism: High-resolution & precise counterfactual medical image generation using language-guided stable diffusion,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Prism: High-resolution & precise counterfactual medical image generation using language-guided stable diffusion,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.650104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d95423d-e62b-4f26-a1bb-762dfe065969 · outbound

This paper cites Denoising diffusion models for 3d healthy brain tissue in- painting,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Denoising diffusion models for 3d healthy brain tissue in- painting,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.636356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1a1fa89-0ab0-4a86-a825-9a3655f32c04 · outbound

This paper cites St-gan: Spatial transformer generative adversarial networks for image compositing,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation St-gan: Spatial transformer generative adversarial networks for image compositing,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.623324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 379f1b3d-95de-493e-b721-5fe63b4ac3dc · outbound

This paper cites Generative Adversarial Networks.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Generative Adversarial Networks

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.581941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a5db88-607a-4f16-a4df-93464011acc8 · outbound

This paper cites Objectstitch: Object compositing with diffusion model,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Objectstitch: Object compositing with diffusion model,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.610701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be048089-9c63-4a7c-996e-6e410160f944 · outbound

This paper cites Segment Anything.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Segment Anything

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.590374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d014b55-4fbc-4e30-a2c1-e6c3640e507d · outbound

This paper cites ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:26.708484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e72d13e5-0cae-4ab7-8dcd-fa19e78bb4ed · outbound

This paper cites Anatomically-controllable medical image generation with segmentation-guided diffusion models,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Anatomically-controllable medical image generation with segmentation-guided diffusion models,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.597234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 021cb827-bbc1-499d-8add-1a63b22559df · outbound

This paper cites Mededit: Counterfactual diffusion-based image editing on brain mri,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Mededit: Counterfactual diffusion-based image editing on brain mri,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.584464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7f5c351-5643-4289-84a2-820d19b94d8f · outbound

This paper cites Diffusion models with implicit guid- ance for medical anomaly detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Diffusion models with implicit guid- ance for medical anomaly detection,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.571252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2bbdaeee-a54e-43e5-8bc8-d9723674d25e · outbound

This paper cites Radedit: Stress-testing biomedical vision mod- els via diffusion image editing,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Radedit: Stress-testing biomedical vision mod- els via diffusion image editing,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.557267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cbd66750-7680-4cda-a2a9-93d5c45a761f · outbound

This paper cites Diffusion models for counterfac- tual generation and anomaly detection in brain images,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Diffusion models for counterfac- tual generation and anomaly detection in brain images,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.543016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27c23e9c-332b-4c29-934f-f02ef4ac07f1 · outbound

This paper cites Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.526538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d05a9d39-e769-4d5f-815b-f0ad7d0b735a · outbound

This paper cites D’Orsi, E.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation D’Orsi, E

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.511197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15afb3d4-d148-4498-b428-6e2bfb523cae · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:26.625897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07e0742-f9df-4ece-b728-c4c94ed1ea0a · outbound

This paper cites Adam: A method for stochastic optimization,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Adam: A method for stochastic optimization,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.496858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 298827ff-673b-42bf-a93a-248868549c05 · outbound

This paper cites W ovogen: W orld volume-aware diffusion for controllable multi-camera driving scene generation,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation W ovogen: W orld volume-aware diffusion for controllable multi-camera driving scene generation,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.481979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f973538-e8ef-4dc6-9240-cadcb2efcccd · outbound

This paper cites Simple open-vocabulary object detection,.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Simple open-vocabulary object detection,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:12:27.467559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a26296bc-7985-4128-8edc-8eaad1a88cae · outbound

This paper cites Towards Realistic Scene Generation with LiDAR Diffusion Models.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Towards Realistic Scene Generation with LiDAR Diffusion Models

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:12:27.101813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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