Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:31.700006Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 17 inbound Pith citation observations for arXiv:2501.07397.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:31.700006Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:57.983644Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:30:07.390367Z
62 of 62 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1bf42bcf-e2f6-48c5-8239-c65ab2b8e63a · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data write newline
Reference 1
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Observation 824eea80-bb38-4a96-9177-6f41d11e497f · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Blended latent diffusion
Reference 2
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Observation 4557183d-08c2-4619-98fc-ebd76197ae8e · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Instructpix2pix: Learning to follow image editing instructions
Reference 3
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Observation 501e6f9c-56ed-4ebd-b1d2-666f0a5ec0e1 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Zits++: Image inpainting by improving the incremental transformer on structural priors
Reference 4
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Observation 2b749651-7857-4bd7-a7b1-1780e2e03d5a · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Diffusion models beat gans on image synthesis
Reference 5
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Observation 52e01746-3a01-4eb2-860d-dfd5a76465f3 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Incremental transformer structure enhanced image inpainting with masking positional encoding
Reference 6
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Observation a9e017b6-6182-451e-a6e5-4a4fa19af9f8 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
Reference 7
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Observation eb4e1c60-c0aa-43e5-af6b-544345ba3941 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Reference 8
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Observation e3cccaf3-dad4-4993-851d-5a92cfb1ffcb · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Guiding Instruction-based Image Editing via Multimodal Large Language Models
Reference 9
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Observation 34a00a84-c033-4e5a-acd0-424042b8b71f · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
Reference 10
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Observation a33c3481-4ae0-4800-ba24-fd93172ee413 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 11
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Observation 6ee7a28f-8165-4062-8948-1d1fe5ed085a · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Denoising diffusion probabilistic models
Reference 12
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Observation 89920ddc-bb38-4fc6-9ae3-7dcb97addad9 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Lora: Low-rank adaptation of large language models
Reference 13
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Observation 918c5fde-216f-4c9b-a758-fbdffa8da40e · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Rethinking fid: Towards a better evaluation metric for image generation
Reference 14
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Observation ab75c703-5260-4214-b7e7-b4e214bbf547 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data SmartEraser: Remove Anything from Images using Masked-Region Guidance
Reference 15
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Observation ee1422f0-4d77-47ee-803b-2103019285c4 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion
Reference 16
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Observation 8dbd3903-a6df-4bf3-a817-10dc221ae19f · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data A style-based generator architecture for generative adversarial networks
Reference 17
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Unavailable: canonical work link unavailable.
Observation 4bbaba07-f8d3-4d42-8b5e-6bc8887fc04a · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Segment anything
Reference 18
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Observation 78585deb-e712-4b56-8b14-eb4f1ac64406 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Peak signal-to-noise ratio revisited: Is simple beautiful? In 2012 Fourth international workshop on quality of multimedia experience, pages 37--38
Reference 19
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Observation 60abd451-7b12-4127-8d9e-2269d08ab93c · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Unresolved cited work
Reference 20
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Observation 094fedf5-8c9d-44f1-b2df-6ff49e9fa68d · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Generative Omnimatte: Learning to Decompose Video into Layers
Reference 21
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Observation a8095db1-d148-4149-b5bd-107a961ea3bb · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Magiceraser: Erasing any objects via semantics-aware control
Reference 22
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Observation 04e71061-9389-46ed-8d80-078b050353e9 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data RORem: Training a Robust Object Remover with Human-in-the-Loop
Reference 23
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Observation ede39d8f-e8df-4626-a593-f0ef8a2d02ea · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Mat: Mask-aware transformer for large hole image inpainting
Reference 24
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Observation 5752a68b-2cf2-42ac-945c-7fab29a9fff1 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data DiffuEraser: A Diffusion Model for Video Inpainting
Reference 25
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Observation e86efbaf-41cd-44f6-b739-969d7a5a9baf · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Microsoft coco: Common objects in context
Reference 26
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Observation d16c5b52-6d16-431e-b9dd-6a221ca6c8c6 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 27
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Observation e3132948-d712-4204-8654-13309caee7be · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Omnimatte: Associating objects and their effects in video
Reference 28
Source-reported events for the cited work
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Observation 8b3223fc-ee2d-4b80-8d1a-d74bfe734975 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Repaint: Inpainting using denoising diffusion probabilistic models
Reference 29
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Observation 90fc4720-03fc-4db7-961a-e7fae390b61c · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Object 3dit: Language-guided 3d-aware image editing
Reference 30
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Observation 34b33899-9970-4cc4-8d06-a709a2ed7a2e · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data DINOv2: Learning Robust Visual Features without Supervision
Reference 31
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Observation e05a7c6f-4f39-49fe-99d5-c0ca26e80b67 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Scalable diffusion models with transformers
Reference 32
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Observation a401b1dd-25f2-44db-83e2-4b8f3554bf6d · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Alfie: Democratising RGBA Image Generation With No $$$
Reference 33
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Observation dfe76daa-4384-4e76-8c92-7bf71f524e07 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 34
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Observation 897f29be-55de-4dd2-8ee4-555f3bdde91c · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data SAM 2: Segment Anything in Images and Videos
Reference 35
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Observation d8511202-641c-42d2-8f33-a4cffa0b68d4 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Reference 36
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Observation 2b91d991-bf26-44c1-b219-ae62533455c4 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data High-resolution image synthesis with latent diffusion models
Reference 37
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Observation da3988c9-399f-45c8-8426-447d482e871b · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data High-resolution image synthesis with latent diffusion models
Reference 38
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Observation b2841309-ca40-4383-82d1-80c10f02a99e · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data U-net: Convolutional networks for biomedical image segmentation
Reference 39
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Observation 6f579289-0455-467d-bd9a-acfd6618baf0 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Rord: A real-world object removal dataset
Reference 40
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Observation 3e2ac59a-a03a-464c-98cf-038b82ae4d5c · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 41
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Observation a56f4aed-78b7-4bc8-b014-4c5e8e063a86 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Emu edit: Precise image editing via recognition and generation tasks
Reference 42
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Observation 7eec7dfc-7145-452f-b9ae-ff7ef90496ec · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Deep unsupervised learning using nonequilibrium thermodynamics
Reference 43
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Observation e524df34-ac0f-451f-9657-96296a835b4d · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Denoising Diffusion Implicit Models
Reference 44
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Observation 60f9d3f6-d6fa-4df7-8865-cd3fcb29e29f · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Attentive eraser: Unleashing diffusion model's object removal potential via self-attention redirection guidance
Reference 45
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Observation 1557cdae-c7a3-4d18-9e4b-b7f9676942cd · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Resolution-robust large mask inpainting with fourier convolutions
Reference 46
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Observation 1be27866-6e03-4977-be35-16c60358d2fd · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Mulan: A multi layer annotated dataset for controllable text-to-image generation
Reference 47
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Observation ba6647ee-42bb-4343-b8f1-e1a9c9a7326d · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Objectdrop: Bootstrapping counterfactuals for photorealistic object removal and insertion
Reference 48
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Observation 531a875d-68d1-4fb6-9f96-0bcca5ba1280 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Seamless manga inpainting with semantics awareness
Reference 49
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Observation 09d356e3-a597-403d-a30a-b3e706f5fdb3 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Smartbrush: Text and shape guided object inpainting with diffusion model
Reference 50
Source-reported events for the cited work
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Observation 6b8023fd-9507-49b9-826f-b936ac1137a8 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Generative Image Layer Decomposition with Visual Effects
Reference 51
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Observation d82f70ef-3eb7-400a-94a4-038094180668 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Reference 52
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Observation bb340405-7e79-44d7-bafa-1f720fd38b89 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Benchmarking segmentation models with mask-preserved attribute editing
Reference 53
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Observation 7c7a6df2-bb76-4383-b858-3629e71b7f38 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Reference 54
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Observation d979ea4e-1f35-4b46-b5ae-3eaf0f3c6248 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Flow-guided transformer for video inpainting
Reference 55
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Observation 50ae58ec-6853-4f35-9842-36625c4bc2b6 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Transparent image layer diffusion using latent transparency
Reference 56
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Observation 0f525580-be47-4a64-b59b-9bfa556306d2 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data The unreasonable effectiveness of deep features as a perceptual metric
Reference 57
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Observation 4a25b83d-64b0-42ef-8990-4998423903ee · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Places: A 10 million image database for scene recognition
Reference 58
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Observation d3421e87-24e4-4d5b-8c5c-59ccf22ee905 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data A task is worth one word: Learning with task prompts for high-quality versatile image inpainting
Reference 59
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Observation 07a01051-3724-4560-9b24-98d1858d989e · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Improved adaptive gaussian mixture model for background subtraction
Reference 60
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Observation 29b99560-fc90-4f78-b108-e0edaa8caa5d · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Efficient adaptive density estimation per image pixel for the task of background subtraction
Reference 61
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Observation ea6a08c4-62ea-449f-a94c-cd71c1bfd958 · outbound
OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data OmniGen: Unified Image Generation
Reference 62
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Observation a05892d4-348a-4021-a576-c6902e072010 · inbound
ROSE: Remove Objects with Side Effects in Videos OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 37
Source-reported events for the cited work
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Observation 664c5a23-ef8e-4ea9-b926-183c6bfa12e8 · inbound
Mask Consistency Regularization in Object Removal OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 24
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Observation 002ee707-aa31-4144-bae3-3d2255e6c5a3 · inbound
EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 40
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Observation 2dd93760-c8ed-4735-8f11-c8c45b74e981 · inbound
A Unified and Controllable Framework for Layered Image Generation with Visual Effects OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 51
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Observation 0898202c-79ac-4a65-afab-ddb899c09126 · inbound
GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 29
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Observation d36508df-09c6-4d56-87f2-568fd434c91b · inbound
Relit-LiVE: Relight Video by Jointly Learning Environment Video OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 119
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Observation d00d4158-1318-451e-bb2a-a48e2e907c56 · inbound
FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 48
Source-reported events for the cited work
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Observation 4aa12c00-8d1a-4ba2-82a8-ecfb95e36538 · inbound
FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 48
Source-reported events for the cited work
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Observation 19e5f953-de52-4a5d-8762-b2c55b92cc05 · inbound
SceneForge: Structured World Supervision from 3D Interventions OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 35
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Observation 64ac97a5-4541-4250-9456-906a8916eeb3 · inbound
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 22
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Observation fe6de6d9-3927-4d65-95bb-0f9e69fea349 · inbound
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 22
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Observation 0d7a86a4-0943-4ddb-b9d7-fdeb01e4da61 · inbound
DualEraser: Joint Video Object and Effect Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 24
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Observation 0d1afd17-a48c-478c-8df6-1ba473acf640 · inbound
Impostor: An Agent-Curated Benchmark for Realistic AIGC Manipulation Localization OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 10
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Observation 75c80d5b-fd22-410e-9acd-5fe7132d41f6 · inbound
Concept Removal for Frontier Image Generative Models OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 134
Source-reported events for the cited work
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Observation 434f4b48-ee85-410d-9690-36c8e6150845 · inbound
OSOR: One-Step Diffusion Inpainting for Effect-Aware Object Removal OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1032fb69-6547-4ec7-a512-ba37ef8a493a · inbound
DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 104b750e-1d9f-4ad9-bc3d-ca147ac0b017 · inbound
TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data
Reference 24
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Unavailable: canonical work link unavailable.