Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T11:54:46.989748Z
Paper Citation Record · LEDGER
A Unified and Controllable Framework for Layered Image Generation with Visual Effects
As of 6 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 3 inbound Pith citation observations for arXiv:2601.15507.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T21:41:27.903998Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T14:25:45.964685Z
Reference resolution
79 of 79 outbound references displayed
- verified exact36
- verified fuzzy40
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 67ae394b-e89d-481b-97c2-c813ed720a40 · outbound
This paper cites Qwen2.5-VL Technical Report.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Qwen2.5-VL Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.150604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c23f8edd-376a-4338-93b8-ac7208a43ba9 · outbound
This paper cites Improving image genera- tion with better captions.OpenAI blog.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Improving image genera- tion with better captions.OpenAI blog
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.628525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e40f2fb4-ae12-4f5c-ac45-369dd3fb5494 · outbound
This paper cites Instructpix2pix: Learning to follow image editing in- structions.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Instructpix2pix: Learning to follow image editing in- structions
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.616102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c3e4773e-577f-474b-a6cf-5444bbf51da8 · outbound
This paper cites Pixart-sigma: Weak-to- strong training of diffusion transformer for 4k text-to- image generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Pixart-sigma: Weak-to- strong training of diffusion transformer for 4k text-to- image generation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.603461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eb5c57aa-18f9-4342-b2f2-18ab64505394 · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.201298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 080c1d0e-c316-4d7e-b699-9eb34b841fc2 · outbound
This paper cites Unireal: Universal image generation and editing via learning real-world dynamics.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Unireal: Universal image generation and editing via learning real-world dynamics
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.605567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4ea3da2a-1bbc-4272-82a9-df14a010fa72 · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.198015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4d8b62f9-d255-472b-942a-cb4a81aecf43 · outbound
This paper cites LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.213284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c617c889-c8bd-4254-8cff-26a1b8218a6c · outbound
This paper cites Emerging Properties in Unified Multimodal Pretraining.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Emerging Properties in Unified Multimodal Pretraining
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.248036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 33c61263-b67d-47c3-93e7-6ddcbe57937c · outbound
This paper cites Scaling rectified flow transformers for high-resolution image synthesis.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Scaling rectified flow transformers for high-resolution image synthesis
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.650214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 261cb8e6-da08-489e-8237-705d81824696 · outbound
This paper cites Scaling rectified flow transformers for high-resolution image synthesis.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Scaling rectified flow transformers for high-resolution image synthesis
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.644693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96b3def5-17a3-4030-b591-27c21e3d6680 · outbound
This paper cites Generating compositional scenes via text-to-image rgba instance generation.Advances in Neural Information Process- ing Systems, 37:43864–43893.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Generating compositional scenes via text-to-image rgba instance generation.Advances in Neural Information Process- ing Systems, 37:43864–43893
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.089153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b9c9ce2f-7ad1-421b-9395-3792ee5c00b1 · outbound
This paper cites Multi-scale and detail-enhanced segment anything model for salient object detection.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Multi-scale and detail-enhanced segment anything model for salient object detection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.636625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1507d451-6c64-4060-83a8-7e65a2f61f93 · outbound
This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.227408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 63b59802-c70e-4fe9-b7c6-a145b3640c84 · outbound
This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neu- ral Information Processing Systems, 36:52132–52152.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neu- ral Information Processing Systems, 36:52132–52152
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.084649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 89517e56-bfaa-4d8e-9f6a-86af0cd946dd · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information process- ing systems, 30.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information process- ing systems, 30
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.624307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d479035b-8d7b-482f-9bcb-60eef5372259 · outbound
This paper cites Psdiffusion: Harmo- nized multi-layer image generation via layout and ap- pearance alignment.arXiv preprint arXiv:2505.11468.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Psdiffusion: Harmo- nized multi-layer image generation via layout and ap- pearance alignment.arXiv preprint arXiv:2505.11468
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.191370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ecef2ef3-370d-4be4-9f0f-de73d465f687 · outbound
This paper cites Flux family models.https:// huggingface.co/docs/diffusers/main/ en/api/pipelines/flux.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Flux family models.https:// huggingface.co/docs/diffusers/main/ en/api/pipelines/flux
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.082267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 625994c4-4569-4e03-9352-24fd8c3ed0af · outbound
This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffu- sion.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffu- sion
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.086894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f128df37-990b-4358-b610-a0915e62a7e3 · outbound
This paper cites LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.259360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3973d0ca-1f5a-4cbb-ae0d-1c6ae6bac1f6 · outbound
This paper cites Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.255751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9c26ea02-d108-4858-90a8-c26b33eda0b6 · outbound
This paper cites Segment anything.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Segment anything
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.093289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 695c805d-27f8-4069-a20c-eed7933d5593 · outbound
This paper cites Flux.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Flux
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.079993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 893a470a-b52e-4132-bdf8-c3386355dda3 · outbound
This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.240988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea8bcc89-176e-477f-9e31-8b6fd13e24b1 · outbound
This paper cites UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.157306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a470ea8b-038c-4420-aaf4-2848f669fb70 · outbound
This paper cites Microsoft coco: Common ob- jects in context.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Microsoft coco: Common ob- jects in context
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.634204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aa3214ec-21ac-4b22-95bb-af8efd71f97f · outbound
This paper cites Flow Matching for Generative Modeling.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Flow Matching for Generative Modeling
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.180996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a465e3d-8337-4053-8d1d-a62ee611188b · outbound
This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects World Model on Million-Length Video And Language With Blockwise RingAttention
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.216612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa367018-3a6d-4128-b2bc-a52e772891a2 · outbound
This paper cites Step1X-Edit: A Practical Framework for General Image Editing.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Step1X-Edit: A Practical Framework for General Image Editing
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.177758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 745c99d1-8653-402f-8681-e9a1ed49985b · outbound
This paper cites Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:31:43.641168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b70eaf92-cb99-4941-b97a-6536680cd353 · outbound
This paper cites Gpt image 1.https://platform.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Gpt image 1.https://platform
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.095310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 08a076e5-fa43-46db-ae14-86bb26fd826b · outbound
This paper cites an unresolved cited work.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T12:00:53.630639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 48d2aa96-6749-4e74-bb0f-065ca4e665eb · outbound
This paper cites Transfer between Modalities with MetaQueries.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Transfer between Modalities with MetaQueries
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.174372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 94466d44-3d95-4150-8477-6418fb5431b4 · outbound
This paper cites On aliased resizing and surprising subtleties in gan evalu- ation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects On aliased resizing and surprising subtleties in gan evalu- ation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.618368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5bca1c96-aa86-4571-871d-1508423c5142 · outbound
This paper cites Scalable diffu- sion models with transformers.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Scalable diffu- sion models with transformers
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.626244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4b1d5d41-d740-468f-9d33-5b7bbc57ba2d · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.184235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0fdac73d-d768-458d-bb49-7cab7fc43138 · outbound
This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Sdxl: Improving latent diffusion models for high-resolution image synthesis
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.633028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b88afb4d-7579-4fad-ae74-0661592f29e0 · outbound
This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.252224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8744be27-5bea-4d85-b943-21011f870dce · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Jour- nal of machine learning research, 21(140):1–67.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Exploring the limits of transfer learning with a unified text-to-text transformer.Jour- nal of machine learning research, 21(140):1–67
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.647645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e8840ccd-87fb-450e-a4a8-4768f0d4ba02 · outbound
This paper cites Zero-shot text-to-image generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Zero-shot text-to-image generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.629428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 51a50ffe-3557-4c0e-908e-dd363d24d8b7 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.194336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3fece346-5606-4035-8ca8-fd240b882755 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects SAM 2: Segment Anything in Images and Videos
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.244408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a0356251-d514-4979-8eac-588f98b7a94e · outbound
This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.167584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2abb2a11-9900-441c-924b-4c68b76b80c5 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects High- resolution image synthesis with latent diffusion models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.075535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72660d47-9c10-4417-bb72-148942bc69f4 · outbound
This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.237459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 660da2a3-da14-468e-8d42-54b5f44b1ea0 · outbound
This paper cites Mulan: A multi layer annotated dataset for controllable text-to-image generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Mulan: A multi layer annotated dataset for controllable text-to-image generation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.099633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e4920211-a657-45a8-8153-bc5f29c7b4c2 · outbound
This paper cites Unsplash: Free high-resolution photos.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Unsplash: Free high-resolution photos
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.639067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6831a40b-0b95-46e9-a4b1-5bd3a654a024 · outbound
This paper cites ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.209325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1b67a0fa-693f-405c-93a8-f3c579525e5a · outbound
This paper cites Instance shadow detection with a single- stage detector.IEEE transactions on pattern analysis and machine intelligence, 45(3):3259–3273.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Instance shadow detection with a single- stage detector.IEEE transactions on pattern analysis and machine intelligence, 45(3):3259–3273
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.073276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e2ef605a-db40-4312-be6a-61d3dbd95dc0 · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Emu3: Next-Token Prediction is All You Need
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.147690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2dd93760-c8ed-4735-8f11-c8c45b74e981 · outbound
This paper cites OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data.
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 2026-08-06T06:34:29.942622+00:00.
Observation 3c358a06-0ea5-4d28-8f77-fb0355be99e3 · outbound
This paper cites Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.068490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c92de20-fb3a-4e5d-a697-88bae47b4b87 · outbound
This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.164174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ff000161-f91a-4438-96fd-b12ab4f1bdfd · outbound
This paper cites Qwen-Image Technical Report.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Qwen-Image Technical Report
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.140462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0fde9377-a7af-4fc8-886a-23b5b077b765 · outbound
This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects OmniGen2: Towards Instruction-Aligned Multimodal Generation
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.137049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f5b06fec-209c-45e1-89ea-5fe6b129c838 · outbound
This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.234347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7744e0a6-6ef1-44c0-a454-13eff56fe452 · outbound
This paper cites Generative image layer decomposition with visual effects.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Generative image layer decomposition with visual effects
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.070955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 825b9327-b11d-4704-a225-1cfd4c49be71 · outbound
This paper cites $\texttt{Complex-Edit}$: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects $\texttt{Complex-Edit}$: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.230872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7fb50555-a184-4aa7-bcdd-7a78773d757f · outbound
This paper cites ImgEdit: A Unified Image Editing Dataset and Benchmark.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects ImgEdit: A Unified Image Editing Dataset and Benchmark
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.144454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6119f748-0f46-4868-9c15-89e22d184bba · outbound
This paper cites Anyedit: Mastering unified high-quality image editing for any idea.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Anyedit: Mastering unified high-quality image editing for any idea
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.063583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 02d185b8-6c6e-4ee5-b03b-5ac7f2ba5651 · outbound
This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neu- ral Information Processing Systems, 36:31428–31449.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neu- ral Information Processing Systems, 36:31428–31449
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.065919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93b75084-304a-4469-bf32-0ed663278a30 · outbound
This paper cites Transparent Image Layer Diffusion using Latent Transparency.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Transparent Image Layer Diffusion using Latent Transparency
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.205421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fd63b0b0-a2af-4fe2-9032-110269dbe034 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Adding conditional control to text-to-image diffusion models
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.077809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98fd5801-6277-4739-8b29-a754f838eb19 · outbound
This paper cites The unreasonable ef- fectiveness of deep features as a perceptual metric.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects The unreasonable ef- fectiveness of deep features as a perceptual metric
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.621407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e4304bed-ad23-4032-baf6-652bf75217e0 · outbound
This paper cites Text2Layer: Layered Image Generation using Latent Diffusion Model.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Text2Layer: Layered Image Generation using Latent Diffusion Model
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.223899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79982f45-67bc-4e31-8bc3-4cc076b602c4 · outbound
This paper cites In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:07:53.247084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c16b003c-2dc3-47f6-abd2-9d655e345a4a · outbound
This paper cites Ultraedit: Instruction-based fine-grained image editing at scale.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Ultraedit: Instruction-based fine-grained image editing at scale
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.091327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b95cae79-5dc8-4c97-be75-189e020093ee · outbound
This paper cites ObjectClear: Complete object removal via object-effect attention.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects ObjectClear: Complete object removal via object-effect attention
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:57:50.187534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fbd30a46-3fff-4a34-b3f5-a5e69f040abc · outbound
This paper cites Tp-blend: Textual- prompt attention pairing for precise object-style blend- ing in diffusion models.Transactions on Machine Learning Research.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Tp-blend: Textual- prompt attention pairing for precise object-style blend- ing in diffusion models.Transactions on Machine Learning Research
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.641799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2c7f30ac-1ed0-4244-87a0-5431c7eb66b1 · outbound
This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:57:50.171082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3bbc9cb1-8497-4818-b821-dad3700fc643 · outbound
This paper cites Addition.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Addition
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.592348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9497fd29-402c-43b7-8ab1-c4a2f848c3a3 · outbound
This paper cites Addition.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Addition
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.061422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b7837a65-fff4-406f-9a0a-19f989e6573e · outbound
This paper cites 11, we provide more results of our model under three different modes (FG Gen, BG Gen, and Text2All).
A Unified and Controllable Framework for Layered Image Generation with Visual Effects 11, we provide more results of our model under three different modes (FG Gen, BG Gen, and Text2All)
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.097484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4b8ae453-037b-46dd-ae30-3444619ad012 · outbound
This paper cites 12, we provide more samples from LASAGNA-48K.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects 12, we provide more samples from LASAGNA-48K
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.101606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22ba6195-69d9-461c-98bd-5e2512f85245 · outbound
This paper cites 13, we provide more samples from LASAGNABENCH.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects 13, we provide more samples from LASAGNABENCH
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T11:57:51.059433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 529b7732-04bc-4bb5-a6eb-56a6361bc56c · outbound
This paper cites GPT Score.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects GPT Score
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.626810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e42a5b44-1002-46e6-a43a-ad856e3fc0f3 · outbound
This paper cites The results show the superiority of our generation paradigm.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects The results show the superiority of our generation paradigm
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T12:00:53.616272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e07b29cb-a68e-4174-97c1-4712fbe83ebb · outbound
This paper cites an unresolved cited work.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T12:00:53.635083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6a998a6-abc8-43c2-9a33-7f52a39b3e3f · outbound
This paper cites FG Gen” denotes background-conditioned foreground layer generation, “BG Gen.
A Unified and Controllable Framework for Layered Image Generation with Visual Effects FG Gen” denotes background-conditioned foreground layer generation, “BG Gen
Reference 79
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T12:00:53.611488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 3c0945a2-e5d0-4976-bd99-9561d6d2a9ee · inbound
LiWi: Layering in the Wild cites this paper.
LiWi: Layering in the Wild A Unified and Controllable Framework for Layered Image Generation with Visual Effects
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T02:03:29.118096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 380cb195-4f5d-4e21-8b0d-b1ad54983eb9 · inbound
LiWi: Layering in the Wild cites this paper.
LiWi: Layering in the Wild A Unified and Controllable Framework for Layered Image Generation with Visual Effects
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T10:24:47.055987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 922ee30a-8615-4ecc-9587-f394c11962ec · inbound
LiWi: Layering in the Wild cites this paper.
LiWi: Layering in the Wild A Unified and Controllable Framework for Layered Image Generation with Visual Effects
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T14:25:45.965976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.