Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:12.869980Z
Paper Citation Record · LEDGER
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
As of 17 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2504.17253.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
100 of 116 outbound references displayed
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- verified fuzzy49
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External citation measurements
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Outbound references
Observation 73e9bce1-ad93-4c18-8b12-dd53467b307a · outbound
This paper cites Your diffusion model is secretly a zero-shot classifier.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Your diffusion model is secretly a zero-shot classifier
Reference 1
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Observation 27f7b24d-d92c-4378-b695-4ed4077a1b4f · outbound
This paper cites Text-to-image diffusion models are zero-shot classifiers.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Text-to-image diffusion models are zero-shot classifiers
Reference 2
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Observation 519be43c-69f5-4204-b954-830ec1c6d16e · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermody- namics.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Deep unsupervised learning using nonequilibrium thermody- namics
Reference 3
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This paper cites Denoising diffusion probabilistic models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Denoising diffusion probabilistic models
Reference 4
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Source-reported events for the cited work
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Observation 5d88543e-4bec-46e2-b691-5b0c2fb67e0f · outbound
This paper cites Score-based generative modeling through stochastic differential equations.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Score-based generative modeling through stochastic differential equations
Reference 5
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Observation 7ad7bbd1-ae8d-4ebf-9e7f-4f98f2e5ca9d · outbound
This paper cites Diffusion models beat GANs on image synthesis.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion models beat GANs on image synthesis
Reference 6
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Observation 1105a2f3-27d3-4583-be86-35837f0b02f9 · outbound
This paper cites High-resolution image synthesis with latent diffu- sion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks High-resolution image synthesis with latent diffu- sion models
Reference 7
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Observation 6000f0f5-c0e7-4cec-b5ff-6c401b73ca00 · outbound
This paper cites Photorealistic text-to-image diffusion models with deep language understanding.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Photorealistic text-to-image diffusion models with deep language understanding
Reference 8
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Neural discrete representation learning
Reference 9
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Source-reported events for the cited work
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This paper cites Generating diverse high-fidelity images with VQ-V AE-2.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Generating diverse high-fidelity images with VQ-V AE-2
Reference 10
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Source-reported events for the cited work
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Observation 89407aa4-c1d6-43ed-8fcb-e899d768c573 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Taming transformers for high-resolution image synthesis
Reference 11
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Source-reported events for the cited work
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Observation 6903889d-ea85-4544-ab39-464a70b938ef · outbound
This paper cites Zero-shot text- to-image generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Zero-shot text- to-image generation
Reference 12
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Source-reported events for the cited work
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Observation 13d166c0-2cf5-4974-9c81-b5dc5ea9aff3 · outbound
This paper cites Generative adversarial nets.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Generative adversarial nets
Reference 13
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Source-reported events for the cited work
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Observation 0658567f-6e01-4016-9e4c-cf2d8b74cb55 · outbound
This paper cites Large scale GAN training for high fidelity natural image synthesis.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Large scale GAN training for high fidelity natural image synthesis
Reference 14
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Observation 30f86d9e-2598-4cf4-87c9-8d55d6af9297 · outbound
This paper cites A style-based generator architecture for generative adversarial networks.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks A style-based generator architecture for generative adversarial networks
Reference 15
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Source-reported events for the cited work
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Observation accf8bf2-07a9-4404-953a-54d180488fc8 · outbound
This paper cites Is synthetic data from generative models ready for image recognition? In ICLR, 2023.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Is synthetic data from generative models ready for image recognition? In ICLR, 2023
Reference 16
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Observation d0f021fe-85f7-4f4a-b096-b37e3341bc53 · outbound
This paper cites Fake it till you make it: Learning transferable represen- tations from synthetic imagenet clones.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Fake it till you make it: Learning transferable represen- tations from synthetic imagenet clones
Reference 17
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Source-reported events for the cited work
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Observation 277c7323-eac3-422e-965a-ded86ec8c4c5 · outbound
This paper cites an unresolved cited work.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Unresolved cited work
Reference 18
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Source-reported events for the cited work
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Observation 5a5896e4-53c7-41a9-b0a6-447c7b8da720 · outbound
This paper cites DiffuMask: Synthesizing images with pixel-level annotations for semantic segmentation using diffusion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffuMask: Synthesizing images with pixel-level annotations for semantic segmentation using diffusion models
Reference 19
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Source-reported events for the cited work
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Observation 49f38fd5-cac0-4c72-b68a-dfe25cd21c97 · outbound
This paper cites Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation
Reference 20
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Source-reported events for the cited work
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Observation f6d97833-f610-4065-ae5d-941e6b035be5 · outbound
This paper cites GeoDiffusion: Text-prompted geometric control for object detection data generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks GeoDiffusion: Text-prompted geometric control for object detection data generation
Reference 21
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Observation 49b50690-e384-467c-8207-8ccadfa41154 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Data augmentation for object detection via controllable diffusion models
Reference 22
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Source-reported events for the cited work
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Observation cf8c11b1-a112-4b06-89f1-60f6bec98ad7 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Label-efficient semantic segmentation with diffusion models
Reference 23
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Source-reported events for the cited work
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Observation 7cc04d38-7956-4b6a-ab8b-ca6b44b07082 · outbound
This paper cites Open-vocabulary panoptic segmentation with text-to-image diffusion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Open-vocabulary panoptic segmentation with text-to-image diffusion models
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation c2bec7be-4067-481f-aecb-589efa1bcd25 · outbound
This paper cites Diffusion model as representation learner.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion model as representation learner
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 928d0475-52e9-431c-9d4b-11918afa7984 · outbound
This paper cites DreamTeacher: Pretraining image backbones with deep generative models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DreamTeacher: Pretraining image backbones with deep generative models
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation adc189d4-3d11-4229-920c-073a6ee8408b · outbound
This paper cites Unleashing text-to-image diffusion models for visual perception.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Unleashing text-to-image diffusion models for visual perception
Reference 27
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Text-image alignment for diffusion- based perception
Reference 28
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Source-reported events for the cited work
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Observation a1651185-f8e1-4fbb-b4f1-16220797c9b7 · outbound
This paper cites What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Reference 29
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Source-reported events for the cited work
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks On discriminative vs
Reference 30
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Source-reported events for the cited work
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Microsoft COCO: Common objects in context
Reference 31
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Faster R-CNN: Towards real-time object detection with region proposal networks
Reference 32
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks AnimeDiff: Customized image generation of anime characters using diffusion model
Reference 33
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SGDM: An adaptive style-guided diffusion model for personalized text to image generation
Reference 34
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SDEdit: Guided image synthesis and editing with stochastic differential equations
Reference 35
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffFashion: Reference-based fashion design with structure-aware transfer by diffusion models
Reference 36
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks MMGInpainting: Multi-modality guided image inpainting based on diffusion models
Reference 37
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Video diffusion models
Reference 38
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Conditional video diffusion network for fine-grained temporal sentence grounding
Reference 39
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks TA2V: Text-audio guided video generation
Reference 40
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Imagi- naryNet: Learning object detectors without real images and annotations
Reference 41
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion models and semi-supervised learners benefit mutually with few labels
Reference 42
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diversify your vision datasets with automatic diffusion-based augmentation
Reference 43
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks FreeMask: Synthetic images with dense annotations make stronger segmentation models
Reference 44
- Resolution
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Observation cf95e8b0-f57a-4dd4-b74c-7c2648771fe7 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion models for open-vocabulary segmentation
Reference 45
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
Reference 46
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Gen2Det: Generate to detect
Reference 47
- Resolution
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Open-vocabulary object segmentation with diffusion models
Reference 48
- Resolution
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Observation 517c2b72-3ba9-4866-9c05-69fc5cd78bbb · outbound
This paper cites Do text-free diffusion models learn discriminative visual representations? In ECCV, 2024.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Do text-free diffusion models learn discriminative visual representations? In ECCV, 2024
Reference 49
- Resolution
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Observation 4f36733c-d68c-4504-8f9d-0124d99f05fd · outbound
This paper cites Bridging generative and discriminative models for unified visual perception with diffusion priors.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Bridging generative and discriminative models for unified visual perception with diffusion priors
Reference 50
- Resolution
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Observation 708b6bc7-95bb-49cc-ba39-36eae8f45044 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks ECoDepth: Effective conditioning of diffusion models for monocular depth estimation
Reference 51
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SegDiff: Image Segmentation with Diffusion Probabilistic Models
Reference 52
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks A generalist framework for panoptic segmentation of images and videos
Reference 53
- Resolution
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Observation 55e30f19-7b88-489b-90b3-d71604f1c4a0 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffusionDet: Diffusion model for object detection
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.587834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1e9ad2d1-8de5-428d-81a3-02b07c9abf34 · outbound
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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Reference 55
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 167e843b-2ff2-423e-96fb-828c6fc7a97e · outbound
This paper cites DDP: Diffusion model for dense visual prediction.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DDP: Diffusion model for dense visual prediction
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.575082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5b560652-4a82-4d9e-ab7d-bede013cf052 · outbound
This paper cites Exploiting diffusion prior for generalizable dense prediction.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Exploiting diffusion prior for generalizable dense prediction
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.563428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec3088fa-250d-4886-9348-cfd895d6633b · outbound
This paper cites Repurposing diffusion-based image generators for monocular depth estimation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Repurposing diffusion-based image generators for monocular depth estimation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.552898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 57548efe-976e-44cd-adfd-176a780c377c · outbound
This paper cites DSIS- DPR: Structured instance segmentation and diffusion prior refinement for dental anatomy learning.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DSIS- DPR: Structured instance segmentation and diffusion prior refinement for dental anatomy learning
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.542338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 09414922-c952-4278-87a7-6c38eb254b71 · outbound
This paper cites Attention is all you need.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Attention is all you need
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.737999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bb125fc-5fd2-43df-9910-fc7fe7ecb05e · outbound
This paper cites Diffuse attend and segment: Unsupervised zero-shot segmentation using stable diffusion.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffuse attend and segment: Unsupervised zero-shot segmentation using stable diffusion
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.527315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3587090-80b5-43b5-985f-788dc19189ed · outbound
This paper cites LD-ZNet: A latent diffusion approach for text-based image segmentation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks LD-ZNet: A latent diffusion approach for text-based image segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.518541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 064d46aa-43c8-4d36-9ce4-6d62e63de4ff · outbound
This paper cites Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.747003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97a70e74-4f43-47aa-bd19-f4d22c75795e · outbound
This paper cites From text to mask: Localizing entities using the attention of text-to-image diffusion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks From text to mask: Localizing entities using the attention of text-to-image diffusion models
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.508363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9fd6e841-1c67-4aba-94b3-8bab6c744f03 · outbound
This paper cites Scalable diffusion models with transformers.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Scalable diffusion models with transformers
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.497197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 150b7262-5668-476b-96db-a3ff513ac12c · outbound
This paper cites Score-based generative classifiers.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Score-based generative classifiers
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.485822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6b031398-d13a-4eb2-930d-acc8abffd9c1 · outbound
This paper cites Robust classification via a single diffusion model.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Robust classification via a single diffusion model
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.474616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 21a7e9d3-70d0-4e9f-b259-4ca94a7e2630 · outbound
This paper cites Your Diffusion Model is Secretly a Certifiably Robust Classifier.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Your Diffusion Model is Secretly a Certifiably Robust Classifier
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.762791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3b77361-e28c-4f7d-8daa-5ad31db71477 · outbound
This paper cites Are diffusion models vision-and-language reasoners? NeurIPS, 36, 2023.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Are diffusion models vision-and-language reasoners? NeurIPS, 36, 2023
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.463337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4fe63a57-0fe2-4dfd-956b-dd71a68542f3 · outbound
This paper cites SelfEval: Leveraging the discriminative nature of generative models for evaluation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SelfEval: Leveraging the discriminative nature of generative models for evaluation
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.769025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d04604bd-e87c-4806-83de-c743a6c7b96f · outbound
This paper cites Generative visual manipulation on the natural image manifold.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Generative visual manipulation on the natural image manifold
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.452960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a67be867-b26b-4016-b9b9-fca42db79511 · outbound
This paper cites GAN inversion: A survey.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks GAN inversion: A survey
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.442846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bb6e7bf1-fa87-4860-9940-8fc3cea5b448 · outbound
This paper cites Plug- and-play diffusion features for text-driven image-to-image translation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Plug- and-play diffusion features for text-driven image-to-image translation
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.433228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bb209bc8-fc4f-4ffb-8db2-a3e6d2a561e3 · outbound
This paper cites MasaCtrl: Tuning-free mutual self-attention control for consistent image synthesis and editing.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks MasaCtrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.423388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bf718120-f135-4601-824f-daa118ab1d23 · outbound
This paper cites Inverting the generator of a generative adversarial network.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Inverting the generator of a generative adversarial network
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.412846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4662624e-c164-4e3a-9f11-5b09852cc762 · outbound
This paper cites Image2StyleGAN: How to embed images into the StyleGAN latent space? In IEEE ICCV, pages 4432–4441, 2019.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Image2StyleGAN: How to embed images into the StyleGAN latent space? In IEEE ICCV, pages 4432–4441, 2019
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.401811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e3028e52-ead3-43eb-bc32-47e9ac853ec7 · outbound
This paper cites Improved StyleGAN Embedding: Where are the Good Latents?.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Improved StyleGAN Embedding: Where are the Good Latents?
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.793549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05188ef4-ee02-4521-adaf-b8a4ce90dd86 · outbound
This paper cites Encoding in style: A StyleGAN encoder for image-to-image translation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Encoding in style: A StyleGAN encoder for image-to-image translation
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.389528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3f2b023-96cf-48fa-a013-b241fff14f71 · outbound
This paper cites Designing an encoder for StyleGAN image manipulation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Designing an encoder for StyleGAN image manipulation
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.377467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 42248247-f1e1-47c3-b1e6-101cea3553c1 · outbound
This paper cites HyperStyle: StyleGAN inversion with hypernetworks for real image editing.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks HyperStyle: StyleGAN inversion with hypernetworks for real image editing
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.367311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1255503b-c3ca-48f1-b75d-c8fecea5086c · outbound
This paper cites Unsupervised image-to- image translation via pre-trained StyleGAN2 network.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Unsupervised image-to- image translation via pre-trained StyleGAN2 network
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.356673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f91668d9-4407-4c7c-8b21-53e47440f2be · outbound
This paper cites In-domain GAN inversion for real image editing.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks In-domain GAN inversion for real image editing
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.346245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c5f49454-8e62-43ff-baf7-beb6d0d3ae5d · outbound
This paper cites Denoising diffusion implicit models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Denoising diffusion implicit models
Reference 83
- Resolution
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- no resolver link, observed 2026-08-16T10:51:12.814378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e47dfa-dd57-4ce4-b5db-c56e81fc04d0 · outbound
This paper cites EDICT: Exact diffusion inversion via coupled transformations.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks EDICT: Exact diffusion inversion via coupled transformations
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.329819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f455d753-2955-47f5-9590-c2c8754773dc · outbound
This paper cites Exact Diffusion Inversion via Bi-directional Integration Approximation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Exact Diffusion Inversion via Bi-directional Integration Approximation
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.820677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64e454a4-3588-4b7d-bbc1-c8254936802f · outbound
This paper cites Null-text inversion for editing real images using guided diffusion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Null-text inversion for editing real images using guided diffusion models
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.319166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d7935b50-1efe-4a81-b23d-de5d72ef86a0 · outbound
This paper cites Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.827595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0189cd66-c97c-45e9-8b2b-9ba8d765de77 · outbound
This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks An image is worth one word: Personalizing text-to-image generation using textual inversion
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.308875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e9aeacf3-9e94-4f15-a4dc-445a99913aed · outbound
This paper cites De-diffusion makes text a strong cross-modal interface.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks De-diffusion makes text a strong cross-modal interface
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.297781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d03cbc54-71a0-4827-ba5d-7b0123424a50 · outbound
This paper cites Prompting hard or hardly prompting: Prompt inversion for text-to- image diffusion models.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Prompting hard or hardly prompting: Prompt inversion for text-to- image diffusion models
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.287251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b694c346-dc5a-4b39-8666-e968c9c506f7 · outbound
This paper cites Conditional Generative Adversarial Nets.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Conditional Generative Adversarial Nets
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.840407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c950d1be-c03f-40d4-a8da-b34cb09e56ab · outbound
This paper cites Bernstein, Alexander C.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Bernstein, Alexander C
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.277574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 15b7d800-e06d-4162-893b-c5e474fd28e5 · outbound
This paper cites Frido: Feature pyramid diffusion for complex scene image synthesis.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Frido: Feature pyramid diffusion for complex scene image synthesis
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.268344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b97334b-12a5-47db-844b-ca1aba883502 · outbound
This paper cites LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:51:12.850080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f99bc4f6-7c96-4b2c-a9bc-c3334ccfa692 · outbound
This paper cites LayoutDiffusion: Controllable diffusion model for layout-to-image generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks LayoutDiffusion: Controllable diffusion model for layout-to-image generation
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.258709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 79670c97-b5b4-4985-b067-5eff4dc1b46b · outbound
This paper cites COCO-Stuff: Thing and stuff classes in context.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks COCO-Stuff: Thing and stuff classes in context
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.249580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 366da1fb-ca40-4a93-adea-ff3166b2c990 · outbound
This paper cites ReCo: Region-controlled text-to-image generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks ReCo: Region-controlled text-to-image generation
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.240661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f1170c68-7286-4542-8a6c-d983ee24c91e · outbound
This paper cites GLIGEN: Open-set grounded text-to-image generation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks GLIGEN: Open-set grounded text-to-image generation
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.231866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 496ea676-49eb-4817-a4b1-201130657330 · outbound
This paper cites U-Net: Con- volutional networks for biomedical image segmentation.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks U-Net: Con- volutional networks for biomedical image segmentation
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.222446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbc28f89-fc64-41ff-9aeb-98b24acf6137 · outbound
This paper cites Decoupled weight decay regulariza- tion.
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Decoupled weight decay regulariza- tion
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:51:13.212718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.