Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:35:35.506601Z
Paper Citation Record · LEDGER
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC
As of 16 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.05619.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact2
- verified fuzzy29
- unresolved24
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation db3a6920-fcbc-4a6f-a2c8-c679f3d23b69 · outbound
This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC InstructPix2Pix: Learning to Follow Image Editing Instructions
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.170866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cfbc285-3400-4de8-a09c-fd3450bd1ba7 · outbound
This paper cites In- structpix2pix: Learning to follow image editing instructions.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC In- structpix2pix: Learning to follow image editing instructions
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.177165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e918aec-f3a5-4939-813e-1ae817d7f511 · outbound
This paper cites Lan- guage models are few-shot learners.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Lan- guage models are few-shot learners
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.880607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78e2705d-4e39-4de0-bbc3-eab48dccc3ab · outbound
This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.860548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa7efd9e-8ddd-40f9-a6c8-062afb7570c6 · outbound
This paper cites Diffusion models beat gans on image synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Diffusion models beat gans on image synthesis
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.194037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8181d36a-a2cf-47f6-aefc-63c455ff987a · outbound
This paper cites Make-a-scene: Scene- based text-to-image generation with human priors.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Make-a-scene: Scene- based text-to-image generation with human priors
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.821511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1066ad90-e5cc-4fda-bb70-1555ee2d27dc · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.206891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fc890e7-ec6a-4ad4-af64-cbda6ccdc07a · outbound
This paper cites Making Pre-trained Language Models Better Few-shot Learners.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Making Pre-trained Language Models Better Few-shot Learners
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.214142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2db7efc-fb81-4999-a38b-16b74239e343 · outbound
This paper cites TaleCrafter: Interactive Story Visualization with Multiple Characters.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC TaleCrafter: Interactive Story Visualization with Multiple Characters
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.220631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 570f3637-1474-4382-adf5-9f924b2a5cac · outbound
This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Vec- tor quantized diffusion model for text-to-image synthesis
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.791412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1eb910d4-1ee0-4777-ad73-90975900b8a9 · outbound
This paper cites Denoising diffu- sion probabilistic models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Denoising diffu- sion probabilistic models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.232247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8983ecd6-9bc5-4a23-9f8f-4f36bd453748 · outbound
This paper cites Cascaded diffusion models for high fidelity image generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Cascaded diffusion models for high fidelity image generation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.749374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6fdd1597-6d2f-419f-99a1-d5d5f746a8e8 · outbound
This paper cites Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.722161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8061cfa-58a6-441f-be25-8f91ee251d19 · outbound
This paper cites High-resolution virtual try-on with misalignment and occlusion-handled conditions.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC High-resolution virtual try-on with misalignment and occlusion-handled conditions
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.681877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 443c4852-c067-4a8c-aedd-70023d53bdc0 · outbound
This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.659395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cc40dc17-c0d6-462a-a6bd-85ff35a889de · outbound
This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback, 2024.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Controlnet++: Improving conditional controls with efficient consistency feedback, 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.639649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc8c4438-0ff3-4bda-9ddb-222d4ad7fdf9 · outbound
This paper cites Gligen: Open-set grounded text-to-image generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Gligen: Open-set grounded text-to-image generation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.263266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 414b54d1-87c4-4335-9ad9-17a04e92d277 · outbound
This paper cites Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:35:35.841274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd8406eb-4c27-42f8-a811-0df26713b607 · outbound
This paper cites Open-edit: Open- domain image manipulation with open-vocabulary instruc- tions.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Open-edit: Open- domain image manipulation with open-vocabulary instruc- tions
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.599250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c0f5fbe-260e-4794-bf51-4e768859cd57 · outbound
This paper cites P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.573846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 490f10b2-03fd-42ec-89ca-b8e29a6470d7 · outbound
This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Repaint: Inpainting using denoising diffusion probabilistic models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.552194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b64e61d-240a-45ea-ad19-e45cd8c3d944 · outbound
This paper cites Peft: State-of-the-art parameter-efficient fine-tuning meth- ods.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Peft: State-of-the-art parameter-efficient fine-tuning meth- ods
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.528109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dd5935d4-721d-460a-8a42-86ea1840a614 · outbound
This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC SDEdit: Guided image synthesis and editing with stochastic differential equa- tions
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.299419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e542d542-0413-4290-9c1b-3f4de17638b6 · outbound
This paper cites LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.306833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb4f1fd0-2bd1-4fa4-b993-27cf956491cf · outbound
This paper cites T2i- adapter: Learning adapters to dig out more controllable abil- ity for text-to-image diffusion models, 2023.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC T2i- adapter: Learning adapters to dig out more controllable abil- ity for text-to-image diffusion models, 2023
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.312489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83ce0e42-9717-44bc-9abd-8eebf94655ef · outbound
This paper cites Improved denoising diffusion probabilistic models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Improved denoising diffusion probabilistic models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.317462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcb7ec94-c1ba-4a02-b6bc-371278c7d98b · outbound
This paper cites GLIDE: towards photorealis- tic image generation and editing with text-guided diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC GLIDE: towards photorealis- tic image generation and editing with text-guided diffusion models
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.447938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b30c706-484f-4164-8021-5c7e49977767 · outbound
This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.423041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1fdaf0e-362b-467c-839f-14822c612260 · outbound
This paper cites Scalable diffusion models with transformers.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Scalable diffusion models with transformers
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.335010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d78d5fda-2843-4b40-b779-a247cf0727d9 · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.340357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84ee5af5-af2f-4d68-b5d7-1b3afc3d14e4 · outbound
This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.345745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28e76c5f-c6c4-4ef3-9c5c-a07e491ca861 · outbound
This paper cites Language models are unsu- pervised multitask learners.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Language models are unsu- pervised multitask learners
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.367113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c374a86-9f24-49a7-8dcb-1952cd346f73 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Learn- ing transferable visual models from natural language super- vision
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.342608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d3f1035-c9cd-41a3-86b9-7760e14257b5 · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.314913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8717a37c-cea4-4831-adbe-b33510f593be · outbound
This paper cites Make-a-story: Visual memory conditioned consistent story generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Make-a-story: Visual memory conditioned consistent story generation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.291134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96142e50-8619-4a2b-8c64-5133b4cbdcf8 · outbound
This paper cites Zero-shot text-to-image generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Zero-shot text-to-image generation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.269491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6e69a5e8-1d97-45bd-b043-c7a153e31105 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.381762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3273c662-0101-427d-bd6f-2773284318cc · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC High-resolution image syn- thesis with latent diffusion models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.387127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fb80e19-7a73-4aad-bc22-5ad67d67c169 · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.229178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 98b2f119-1d52-4f3e-abce-15a2bc0585fa · outbound
This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.398099Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c3036b4-42dd-4e0f-946e-cda6a825d48a · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Deep unsupervised learning using nonequilibrium thermodynamics
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.403032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 381fbe4e-91bd-45df-aa3d-c735364fdc83 · outbound
This paper cites Df-gan: A simple and effective baseline for text-to-image synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Df-gan: A simple and effective baseline for text-to-image synthesis
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.186465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 817ff40c-92d1-4c9a-9966-c94e2b68ccf4 · outbound
This paper cites GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:35:35.663300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4564569a-9564-414a-8169-afb469f22f5c · outbound
This paper cites Storyimager: A unified and efficient frame- work for coherent story visualization and completion.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Storyimager: A unified and efficient frame- work for coherent story visualization and completion
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.164572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b33e32e6-7e3b-41cc-8d51-f424ea37b6ed · outbound
This paper cites In- context learning unlocked for diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC In- context learning unlocked for diffusion models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.432201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b64a9855-fedc-47fb-a139-ab8619124d41 · outbound
This paper cites OmniGen: Unified Image Generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC OmniGen: Unified Image Generation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.438936Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dee15de7-871f-4109-83f6-04de902ec6b2 · outbound
This paper cites Gp- vton: Towards general purpose virtual try-on via collabo- rative local-flow global-parsing learning.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Gp- vton: Towards general purpose virtual try-on via collabo- rative local-flow global-parsing learning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.121879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b820a67-c1a9-4e9d-83fb-60a656345199 · outbound
This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Attngan: Fine- grained text to image generation with attentional generative adversarial networks
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.097451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c1ba89d-9e1c-442b-9053-2add82363d2b · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.457387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9219d00-e942-4ce8-9e40-17ca8ca675a4 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.465748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f84cdd9-e027-475d-a1e5-c3d5b68f35c1 · outbound
This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.069884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48f422f3-68b0-4d00-9aa5-c962bbaaaf68 · outbound
This paper cites Magicbrush: A manually annotated dataset for instruction- guided image editing.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Magicbrush: A manually annotated dataset for instruction- guided image editing
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.046849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 83d67812-8854-48b8-84b0-cd85c1403254 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Adding conditional control to text-to-image diffusion models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:36.023776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c861ebfe-9976-4840-8d8f-edf2b7528a53 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Adding conditional control to text-to-image diffusion models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:35:35.499143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a02a1900-0cd5-43e2-bef6-0a2eac227f01 · outbound
This paper cites Dm- gan: Dynamic memory generative adversarial networks for text-to-image synthesis.
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC Dm- gan: Dynamic memory generative adversarial networks for text-to-image synthesis
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:35:35.981003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.