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Paper Citation Record · LEDGER

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

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.

pith.paper-citation-record.v1
2501.07397 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:31.700006Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:57.983644Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:30:07.390367Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bf42bcf-e2f6-48c5-8239-c65ab2b8e63a · outbound

This paper cites write newline.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.377361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.377361Z digest=sha256:751471f125f82a75625cb4509e41f7414b5242bf9ea65b7068892c9245838873

Observation 824eea80-bb38-4a96-9177-6f41d11e497f · outbound

This paper cites Blended latent diffusion.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Blended latent diffusion

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.751410Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.384298Z digest=sha256:5d66d69ec0f75c606f47bf26190356db3a4afd0358d100116db48432be63e270

Observation 4557183d-08c2-4619-98fc-ebd76197ae8e · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Instructpix2pix: Learning to follow image editing instructions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.735297Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.389789Z digest=sha256:a9983c45670559069a33f5e2b11a49502b158560d1ac5107094d4ff14cc95b16

Observation 501e6f9c-56ed-4ebd-b1d2-666f0a5ec0e1 · outbound

This paper cites Zits++: Image inpainting by improving the incremental transformer on structural priors.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.719154Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.396260Z digest=sha256:2204f9770339386fd165526cbb81983486e4114dfc663758a3e1768c3086613b

Observation 2b749651-7857-4bd7-a7b1-1780e2e03d5a · outbound

This paper cites Diffusion models beat gans on image synthesis.

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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unresolved
no resolver link, observed 2026-08-10T20:46:31.402171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.402171Z digest=sha256:29ccafc7f0238f946df4099b8de637d40dbe7551dd4961c3155fd66e9357076f

Observation 52e01746-3a01-4eb2-860d-dfd5a76465f3 · outbound

This paper cites Incremental transformer structure enhanced image inpainting with masking positional encoding.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.692985Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.407402Z digest=sha256:60881a34b516ad881c9516b949b109d8dbd2441137cd9b7f47f467a43dcfc5f9

Observation a9e017b6-6182-451e-a6e5-4a4fa19af9f8 · outbound

This paper cites CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.412696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.412696Z digest=sha256:2b644ef1471b8ad98eade04cde415646bbd9daeebc6b889deca107384e67a692

Observation eb4e1c60-c0aa-43e5-af6b-544345ba3941 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.418558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.418558Z digest=sha256:70c9469c6105930fa26a0fbc6b3ec43db765c2cd5f641155f90079454b3d57be

Observation e3cccaf3-dad4-4993-851d-5a92cfb1ffcb · outbound

This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.424254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.424254Z digest=sha256:93177a036596eaf8b323202865c9332599b684b4c211f721285c96835955d1b3

Observation 34a00a84-c033-4e5a-acd0-424042b8b71f · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.429578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.429578Z digest=sha256:d79b23c8e98402f8c7de0a15fb54b751105fe5329244e33cf6cea834289c7d07

Observation a33c3481-4ae0-4800-ba24-fd93172ee413 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.434902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.434902Z digest=sha256:c4ac4430b54a60b866773ada2791860f2b013b2c89cdf27588c66064bd0ee32e

Observation 6ee7a28f-8165-4062-8948-1d1fe5ed085a · outbound

This paper cites Denoising diffusion probabilistic models.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Denoising diffusion probabilistic models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.440209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.440209Z digest=sha256:3d00d14dd5d203308892257d2b7300cccfdf54611ae312edeafd229bc0c5cb51

Observation 89920ddc-bb38-4fc6-9ae3-7dcb97addad9 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Lora: Low-rank adaptation of large language models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.445646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.445646Z digest=sha256:87fa4a89b59c2d0b3d2efe6ae243a674985f7bb9770e77e572be3a8b42f9bf8a

Observation 918c5fde-216f-4c9b-a758-fbdffa8da40e · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.645007Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.450644Z digest=sha256:1a37a5eaf54abd538ab9bebc04301d0ff6aba95d07d5a5491ae937e6fa3d0bd4

Observation ab75c703-5260-4214-b7e7-b4e214bbf547 · outbound

This paper cites SmartEraser: Remove Anything from Images using Masked-Region Guidance.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data SmartEraser: Remove Anything from Images using Masked-Region Guidance

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.455965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.455965Z digest=sha256:9a2c38cd434509552ddff58b2660eb4b2ea9ac6b11d48341f96042e81ad5ea97

Observation ee1422f0-4d77-47ee-803b-2103019285c4 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.628734Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.461332Z digest=sha256:ca425b34e7d8bf6107286968efdcffa5bb9d05eab0f246c09c0e0a41edd4c019

Observation 8dbd3903-a6df-4bf3-a817-10dc221ae19f · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data A style-based generator architecture for generative adversarial networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.466618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.466618Z digest=sha256:86d4e46c93457f38bfdb9da9dd8e3dbe14d8b68797867c85e7922c727be3e8d7

Observation 4bbaba07-f8d3-4d42-8b5e-6bc8887fc04a · outbound

This paper cites Segment anything.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Segment anything

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.471691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.471691Z digest=sha256:744180fddc78f250e21e501001823a1f1c87e07418bd36398c469c489f1caa43

Observation 78585deb-e712-4b56-8b14-eb4f1ac64406 · outbound

This paper cites Peak signal-to-noise ratio revisited: Is simple beautiful? In 2012 Fourth international workshop on quality of multimedia experience, pages 37--38.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.592118Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.476606Z digest=sha256:035b58365e6419d667102545f79f923d740848d5f1c0750a0b7f21f4c1d55e3d

Observation 60abd451-7b12-4127-8d9e-2269d08ab93c · outbound

This paper cites an unresolved cited work.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-10T20:46:31.482277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.482277Z digest=sha256:5c58261b0cea9fd837e2714d8ce111b945a698b033af2546c1136c657b7f0f43

Observation 094fedf5-8c9d-44f1-b2df-6ff49e9fa68d · outbound

This paper cites Generative Omnimatte: Learning to Decompose Video into Layers.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Generative Omnimatte: Learning to Decompose Video into Layers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.487115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.487115Z digest=sha256:d6284bed29459af613dcf69da1d6122e47777a3cd978f39c287e05db7f6d1fe2

Observation a8095db1-d148-4149-b5bd-107a961ea3bb · outbound

This paper cites Magiceraser: Erasing any objects via semantics-aware control.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Magiceraser: Erasing any objects via semantics-aware control

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.564287Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.492466Z digest=sha256:8cab3d1e961ed8c5eea1a8bb0d2f77b9fd0ed8eb0235f1214cd21adf325d6edd

Observation 04e71061-9389-46ed-8d80-078b050353e9 · outbound

This paper cites RORem: Training a Robust Object Remover with Human-in-the-Loop.

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:46:32.066568Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.497350Z digest=sha256:ad3ddee5281546a18dfd607032094fb4f03a5ee7196500576596a388ffbc3216

Observation ede39d8f-e8df-4626-a593-f0ef8a2d02ea · outbound

This paper cites Mat: Mask-aware transformer for large hole image inpainting.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Mat: Mask-aware transformer for large hole image inpainting

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.547439Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.502551Z digest=sha256:4c3c8337c09799a2122844fc0d355cc483ac3427618fde35932426a5df7f4d71

Observation 5752a68b-2cf2-42ac-945c-7fab29a9fff1 · outbound

This paper cites DiffuEraser: A Diffusion Model for Video Inpainting.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data DiffuEraser: A Diffusion Model for Video Inpainting

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.507386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.507386Z digest=sha256:fa5e46246240a830faaf06868b71dc3b57702e683c989120780113f83f9aa08f

Observation e86efbaf-41cd-44f6-b739-969d7a5a9baf · outbound

This paper cites Microsoft coco: Common objects in context.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Microsoft coco: Common objects in context

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.531536Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.512782Z digest=sha256:81ef58a8a5dda4a759795260573405cfab069897b0369c522d6882c458b74126

Observation d16c5b52-6d16-431e-b9dd-6a221ca6c8c6 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.514907Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.518165Z digest=sha256:65990616b1fb94e6b7c6df30859e3bcec23f1cb9c7799b11159fee65f73f19f1

Observation e3132948-d712-4204-8654-13309caee7be · outbound

This paper cites Omnimatte: Associating objects and their effects in video.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Omnimatte: Associating objects and their effects in video

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.498277Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.523393Z digest=sha256:02cb0768da4c226eab1a862a57fc65b6d7636f4e48625887d8a6b79726d48b52

Observation 8b3223fc-ee2d-4b80-8d1a-d74bfe734975 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Repaint: Inpainting using denoising diffusion probabilistic models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.528564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.528564Z digest=sha256:0b4c4ac2793f0a969832eba70628849b6a5e6c81caf38c2cc115d29db285e4ad

Observation 90fc4720-03fc-4db7-961a-e7fae390b61c · outbound

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

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Object 3dit: Language-guided 3d-aware image editing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.533418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.533418Z digest=sha256:ea4c9a63b81c224ea972c3b6b0162af83f7634ae4366fbb930d0e5a818a8ddbd

Observation 34b33899-9970-4cc4-8d06-a709a2ed7a2e · outbound

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

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data DINOv2: Learning Robust Visual Features without Supervision

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.538091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.538091Z digest=sha256:55574c191a8d979bb583102b70e919e1e0fa925a6c111b71cdb8d0133833757a

Observation e05a7c6f-4f39-49fe-99d5-c0ca26e80b67 · outbound

This paper cites Scalable diffusion models with transformers.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Scalable diffusion models with transformers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.543467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.543467Z digest=sha256:4be773ebd914651b914dcbca9ad629e59e0601dac124e2f4dcf468fb1a2b9ed4

Observation a401b1dd-25f2-44db-83e2-4b8f3554bf6d · outbound

This paper cites Alfie: Democratising RGBA Image Generation With No $$$.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Alfie: Democratising RGBA Image Generation With No $$$

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.548240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.548240Z digest=sha256:0b6c1b5a4472805714f77cefa8ef931f0c186cccf285f72a8849c751385fc993

Observation dfe76daa-4384-4e76-8c92-7bf71f524e07 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.553855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.553855Z digest=sha256:2392800aeac9599dfa5c5122a9644dfb2fbb570693e42893286df777838c8c3f

Observation 897f29be-55de-4dd2-8ee4-555f3bdde91c · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data SAM 2: Segment Anything in Images and Videos

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.558961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.558961Z digest=sha256:d4bae6fcb821e49865b203f4e0126c661c5397d0f224bb95783211d810f7e4fa

Observation d8511202-641c-42d2-8f33-a4cffa0b68d4 · outbound

This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.565508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.565508Z digest=sha256:b0837891bcece5f0ed4dc0442ed5536fab753006ed54697374f919cdbab303ba

Observation 2b91d991-bf26-44c1-b219-ae62533455c4 · outbound

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

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data High-resolution image synthesis with latent diffusion models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.571275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.571275Z digest=sha256:f1f6aadaeee8172f374f609d74ab2666c40ad81d41ab2dc4a12e348df2e0649f

Observation da3988c9-399f-45c8-8426-447d482e871b · outbound

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

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data High-resolution image synthesis with latent diffusion models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.576912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.576912Z digest=sha256:dde0970e65f817875a72f48dece4749479eac8b64fc0b8d995102d12e86a511c

Observation b2841309-ca40-4383-82d1-80c10f02a99e · outbound

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

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data U-net: Convolutional networks for biomedical image segmentation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.581857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.581857Z digest=sha256:725b52bf76a36565aeb56fdfcaa8141086bf92cd0ccf894d10b6354a1e791e32

Observation 6f579289-0455-467d-bd9a-acfd6618baf0 · outbound

This paper cites Rord: A real-world object removal dataset.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Rord: A real-world object removal dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.418841Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.587000Z digest=sha256:dd7c58ef70f38ad3ec4edb4d1f6b7f45cf973f4f4c7b7d916882c9a638f47ae1

Observation 3e2ac59a-a03a-464c-98cf-038b82ae4d5c · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.592094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.592094Z digest=sha256:18ac1436f9498554838acb79ca94a0d66c83b3fa609291b0b55cd4358ab3ac2b

Observation a56f4aed-78b7-4bc8-b014-4c5e8e063a86 · outbound

This paper cites Emu edit: Precise image editing via recognition and generation tasks.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.392021Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.597245Z digest=sha256:f9013a305b2e26cbcb59a2af5e42f6e922c1fc0542391fb635e2d3d512cba034

Observation 7eec7dfc-7145-452f-b9ae-ff7ef90496ec · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Deep unsupervised learning using nonequilibrium thermodynamics

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.601747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.601747Z digest=sha256:72cf64189bb34913173f3b05f00ec3a98b425b47f30533c85523e361ea565fae

Observation e524df34-ac0f-451f-9657-96296a835b4d · outbound

This paper cites Denoising Diffusion Implicit Models.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Denoising Diffusion Implicit Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.607134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.607134Z digest=sha256:082b159291a8439110a22c83d737ea1fd945b1949c337e16ffbff73140755231

Observation 60f9d3f6-d6fa-4df7-8865-cd3fcb29e29f · outbound

This paper cites Attentive eraser: Unleashing diffusion model's object removal potential via self-attention redirection guidance.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.612283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.612283Z digest=sha256:f940956bc689cdfb59878db96149ee5ea3327fbd82a8f9c4ca3c8cdd3f1f1e2e

Observation 1557cdae-c7a3-4d18-9e4b-b7f9676942cd · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Resolution-robust large mask inpainting with fourier convolutions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.618593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.618593Z digest=sha256:cdffcc8e6afc03a4ab60ce1b31dc1867ba1878391b24cd6283ebd1ae0aa2881d

Observation 1be27866-6e03-4977-be35-16c60358d2fd · outbound

This paper cites Mulan: A multi layer annotated dataset for controllable text-to-image generation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.354404Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.623756Z digest=sha256:112ff49e04a5e82826dc04c9d34ced043d0c500ad3d03b1336fe1f5651368117

Observation ba6647ee-42bb-4343-b8f1-e1a9c9a7326d · outbound

This paper cites Objectdrop: Bootstrapping counterfactuals for photorealistic object removal and insertion.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Objectdrop: Bootstrapping counterfactuals for photorealistic object removal and insertion

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.338621Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.628648Z digest=sha256:04c2d5ca35d58431afded43067f68b6ea905a123b22b65e6695f5b4bcb748d70

Observation 531a875d-68d1-4fb6-9f96-0bcca5ba1280 · outbound

This paper cites Seamless manga inpainting with semantics awareness.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Seamless manga inpainting with semantics awareness

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.321176Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.633530Z digest=sha256:7d9fbebdfcc9dc9db82a4789c1a25eaaaba644d2ebf8b07501a0ee9314409ba3

Observation 09d356e3-a597-403d-a30a-b3e706f5fdb3 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.305730Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.638570Z digest=sha256:8d6a21466cc877702d4b2da44e47a005f04e145df4ee0a2aeb5eb84ea5cb0323

Observation 6b8023fd-9507-49b9-826f-b936ac1137a8 · outbound

This paper cites Generative Image Layer Decomposition with Visual Effects.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Generative Image Layer Decomposition with Visual Effects

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.643641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.643641Z digest=sha256:efa966c34ee8e9aeddbff0c21b0e4621ef9d585f13b344e6d49c007374bc98cc

Observation d82f70ef-3eb7-400a-94a4-038094180668 · outbound

This paper cites Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.649023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.649023Z digest=sha256:21ae736aa053dff73fc6b21397892b88912fed136602c218980ebbf3a5a5b1e6

Observation bb340405-7e79-44d7-bafa-1f720fd38b89 · outbound

This paper cites Benchmarking segmentation models with mask-preserved attribute editing.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Benchmarking segmentation models with mask-preserved attribute editing

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.289556Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.655170Z digest=sha256:706c50856413d261d794d424cafab3809cfc9ce884fd63022aefd2d69403a31b

Observation 7c7a6df2-bb76-4383-b858-3629e71b7f38 · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.660069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.660069Z digest=sha256:586dd02259c2a80dbc951cb7553f2f34cca54d648cc9a944ead54877faa1bfa5

Observation d979ea4e-1f35-4b46-b5ae-3eaf0f3c6248 · outbound

This paper cites Flow-guided transformer for video inpainting.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Flow-guided transformer for video inpainting

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.274451Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.665018Z digest=sha256:e3da6b63fc8d3b3822af83f32b9353b442b92f90d3c4b318762fb3eafec81f91

Observation 50ae58ec-6853-4f35-9842-36625c4bc2b6 · outbound

This paper cites Transparent image layer diffusion using latent transparency.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Transparent image layer diffusion using latent transparency

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.258382Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.669890Z digest=sha256:76a43d37d1ad5324b4bedcbbeb26d3fa073a0b1e37df94ff65593c73f720b14d

Observation 0f525580-be47-4a64-b59b-9bfa556306d2 · outbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.674932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.674932Z digest=sha256:638951250847fe557877204e60b8b8e8665c2ada221ecb3ef3a3f5ad494343ce

Observation 4a25b83d-64b0-42ef-8990-4998423903ee · outbound

This paper cites Places: A 10 million image database for scene recognition.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Places: A 10 million image database for scene recognition

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.679699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.679699Z digest=sha256:7112bd75324ab2ade3860afa5e288f2b6268f1c058d67a965a8ae2d1b23ceca8

Observation d3421e87-24e4-4d5b-8c5c-59ccf22ee905 · outbound

This paper cites A task is worth one word: Learning with task prompts for high-quality versatile image inpainting.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.222177Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.684819Z digest=sha256:a584f2987518794e58b73eedcfe64eb901f7ada3c7a757aae7bef7e74fa910e6

Observation 07a01051-3724-4560-9b24-98d1858d989e · outbound

This paper cites Improved adaptive gaussian mixture model for background subtraction.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data Improved adaptive gaussian mixture model for background subtraction

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.206342Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.689961Z digest=sha256:c5b07a0e6ad962c6d44da09724bdc20de1724976d75abcb66ae829376ec7261b

Observation 29b99560-fc90-4f78-b108-e0edaa8caa5d · outbound

This paper cites Efficient adaptive density estimation per image pixel for the task of background subtraction.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:46:32.190049Z

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.

source=arxiv_source observed=2026-08-10T20:46:31.694835Z digest=sha256:394040671d562d186a43bba0b08a1d39cd591a10c94bf3af2a6e02810ebf5fd7

Observation ea6a08c4-62ea-449f-a94c-cd71c1bfd958 · outbound

This paper cites OmniGen: Unified Image Generation.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data OmniGen: Unified Image Generation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:31.700006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:31.700006Z digest=sha256:abd30f0782bce8428dccf65e8bf4ddb04f15af472c656a7246fad67c472f9289

Pith citing papers

Observation a05892d4-348a-4021-a576-c6902e072010 · inbound

ROSE: Remove Objects with Side Effects in Videos cites this paper.

ROSE: Remove Objects with Side Effects in Videos OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T16:23:41.913652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:23:41.913652Z digest=sha256:6815dbb237e162f4cf640b10da5f9ab9081ee08595994992b6b4f3f39db085c3

Observation 664c5a23-ef8e-4ea9-b926-183c6bfa12e8 · inbound

Mask Consistency Regularization in Object Removal cites this paper.

Mask Consistency Regularization in Object Removal OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T18:03:53.904859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:03:53.904859Z digest=sha256:5569491a353afe47efe89885a8b2817257120c2e68409d3b100db7b6d770d450

Observation 002ee707-aa31-4144-bae3-3d2255e6c5a3 · inbound

EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T14:08:23.647248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:08:23.647248Z digest=sha256:2325c66a671578d4d8c6ec0af9fa0a5e9af5b87120a0dba3902c9a0c70b5d35e

Observation 2dd93760-c8ed-4735-8f11-c8c45b74e981 · inbound

A Unified and Controllable Framework for Layered Image Generation with Visual Effects cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:57:50.161193Z

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.

source=pdf_text observed=2026-05-16T11:54:46.989748Z digest=sha256:e1edd1bbb93439eb1c2a4f69b2c864c313dc1e45428d757aef038c752b905e1f

Observation 0898202c-79ac-4a65-afab-ddb899c09126 · inbound

GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:29:21.577979Z

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.

source=pdf_text observed=2026-05-10T03:28:56.555962Z digest=sha256:0346d92ebfc80a00bcc293fdfa3ecf07a71665fc97a631c48579ab330e5e6484

Observation d36508df-09c6-4d56-87f2-568fd434c91b · inbound

Relit-LiVE: Relight Video by Jointly Learning Environment Video cites this paper.

Relit-LiVE: Relight Video by Jointly Learning Environment Video OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:09.082489Z

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.

source=arxiv_source observed=2026-05-08T12:25:07.146091Z digest=sha256:690bba3a28162bc12ad12b09ad3283adc892c88bcb8884ed3dd6a17abbbe994b

Observation d00d4158-1318-451e-bb2a-a48e2e907c56 · inbound

FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:41:17.428196Z

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.

source=pdf_text observed=2026-05-12T02:40:16.623388Z digest=sha256:53b30a0bcd9f8f78cdf82e961f327f67e9cf5d76d48dea65dd21e19b1a461619

Observation 4aa12c00-8d1a-4ba2-82a8-ecfb95e36538 · inbound

FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.783257Z

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.

source=pdf_text observed=2026-05-13T06:24:07.973429Z digest=sha256:0d67dfb07d5b9e600bda20f8ae6363217d625fd848b6449ba65e31a261502ca3

Observation 19e5f953-de52-4a5d-8762-b2c55b92cc05 · inbound

SceneForge: Structured World Supervision from 3D Interventions cites this paper.

SceneForge: Structured World Supervision from 3D Interventions OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:38:27.668406Z

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.

source=arxiv_source observed=2026-05-15T01:35:14.873601Z digest=sha256:50137d0daf801c4e0bca9be1249206b6afb5b6bdd2e3cea1d44e38968b70fb32

Observation 64ac97a5-4541-4250-9456-906a8916eeb3 · inbound

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media cites this paper.

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.477330Z

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.

source=pdf_text observed=2026-05-15T02:11:20.206732Z digest=sha256:677d4784c08621d2475449b98be290dda5562727b6af4f0b566a16fd157e3d2a

Observation fe6de6d9-3927-4d65-95bb-0f9e69fea349 · inbound

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media cites this paper.

PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T14:03:35.192871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:03:35.192871Z digest=sha256:992c9c76e634e09771712748a01a2b2ca865ca625d5fd3d1f7f3f092e6298561

Observation 0d7a86a4-0943-4ddb-b9d7-fdeb01e4da61 · inbound

DualEraser: Joint Video Object and Effect Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:13:15.738677Z

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.

source=pdf_text observed=2026-06-29T08:06:27.191812Z digest=sha256:7ed8725a8c53b43c719e21e89b36f5bba1da28f0b97b083e831b77310312158b

Observation 0d1afd17-a48c-478c-8df6-1ba473acf640 · inbound

Impostor: An Agent-Curated Benchmark for Realistic AIGC Manipulation Localization cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.282543Z

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.

source=pdf_text observed=2026-06-28T06:49:48.099295Z digest=sha256:46405792e2588b69b8144aa5339c02bd97edb20a34f7a15e5308f725ee0d4efb

Observation 75c80d5b-fd22-410e-9acd-5fe7132d41f6 · inbound

Concept Removal for Frontier Image Generative Models cites this paper.

Concept Removal for Frontier Image Generative Models OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.391853Z

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.

source=arxiv_source observed=2026-06-25T21:18:32.620951Z digest=sha256:aa8d9c85da4235d0b2ec91f40a295e405c4f2c66fb48c9fed0ec952b31612c0d

Observation 434f4b48-ee85-410d-9690-36c8e6150845 · inbound

OSOR: One-Step Diffusion Inpainting for Effect-Aware Object Removal cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:51.407370Z

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.

source=pdf_text observed=2026-06-29T04:09:59.430855Z digest=sha256:47564eb76e00e70757198495762ecb61d8ab520b0c19e7bb2431758b116b82ad

Observation 1032fb69-6547-4ec7-a512-ba37ef8a493a · inbound

DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T20:23:39.531712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:23:39.531712Z digest=sha256:2d38e861a6c47825f3aa2c29b18d78225daf84259b2311143fb50c422c689a4b

Observation 104b750e-1d9f-4ad9-bc3d-ca147ac0b017 · inbound

TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-15T15:15:57.983644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:15:57.983644Z digest=sha256:8f046990763f45c5dc00e16fb8aed56a89e7672b7dd10eb35fc54b4af5b602a3