DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks | Paper Citation Record

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

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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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Observation 2b9bd6bb-01a5-474b-a5c3-6aca3f08c995 · outbound

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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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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Observation 07e8d43d-15b3-4cf0-b350-667001cc43d0 · outbound

This paper cites Neural discrete representation learning.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Neural discrete representation learning

Reference 9

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Observation 7cf499b1-7999-41dc-ad46-9d790950f2f8 · outbound

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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Observation 89407aa4-c1d6-43ed-8fcb-e899d768c573 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Taming transformers for high-resolution image synthesis

Reference 11

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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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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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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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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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This paper cites an unresolved cited work.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Unresolved cited work

Reference 18

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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

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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

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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

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Observation 49b50690-e384-467c-8207-8ccadfa41154 · outbound

This paper cites Data augmentation for object detection via controllable diffusion models.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Data augmentation for object detection via controllable diffusion models

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Observation cf8c11b1-a112-4b06-89f1-60f6bec98ad7 · outbound

This paper cites Label-efficient semantic segmentation with diffusion models.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Label-efficient semantic segmentation with diffusion models

Reference 23

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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

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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

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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

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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

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Observation 59a3ef00-0da9-41b3-88e6-61524f3473e3 · outbound

This paper cites Text-image alignment for diffusion- based perception.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Text-image alignment for diffusion- based perception

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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?

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Observation b1251d7b-5656-44a2-977c-66fccd359d2c · outbound

This paper cites On discriminative vs.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks On discriminative vs

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Observation 5f76566f-afbf-4435-8112-8762ac45d954 · outbound

This paper cites Microsoft COCO: Common objects in context.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Microsoft COCO: Common objects in context

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Observation 4a6e3623-bdca-4b0f-9510-a6f790eb2f01 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Faster R-CNN: Towards real-time object detection with region proposal networks

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Observation 5fa5b191-e2fb-4af1-a2da-4a229293f833 · outbound

This paper cites AnimeDiff: Customized image generation of anime characters using diffusion model.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks AnimeDiff: Customized image generation of anime characters using diffusion model

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Observation 1a2d4ec5-c9a8-4af5-b023-ae979fd46530 · outbound

This paper cites SGDM: An adaptive style-guided diffusion model for personalized text to image generation.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SGDM: An adaptive style-guided diffusion model for personalized text to image generation

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Observation 136f7a76-4eae-4118-9908-eb27b6c4b23c · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SDEdit: Guided image synthesis and editing with stochastic differential equations

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Observation ce3455d3-8e65-49a6-a9c7-232533101378 · outbound

This paper cites DiffFashion: Reference-based fashion design with structure-aware transfer by diffusion models.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffFashion: Reference-based fashion design with structure-aware transfer by diffusion models

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks MMGInpainting: Multi-modality guided image inpainting based on diffusion models

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Video diffusion models

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Observation bf7b335f-81eb-4310-87ef-4da8874af80d · outbound

This paper cites Conditional video diffusion network for fine-grained temporal sentence grounding.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Conditional video diffusion network for fine-grained temporal sentence grounding

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks TA2V: Text-audio guided video generation

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This paper cites Imagi- naryNet: Learning object detectors without real images and annotations.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Imagi- naryNet: Learning object detectors without real images and annotations

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Observation 50a9e3ea-d09e-45a6-af88-1d17b9a0150e · outbound

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diffusion models and semi-supervised learners benefit mutually with few labels

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Observation 8cfda473-d7b5-4b72-a436-8501704786e4 · outbound

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Diversify your vision datasets with automatic diffusion-based augmentation

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DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks FreeMask: Synthetic images with dense annotations make stronger segmentation models

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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

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This paper cites MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

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Observation b3f310db-1b75-4bfb-a2c3-7b054f532015 · outbound

This paper cites Gen2Det: Generate to detect.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Gen2Det: Generate to detect

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This paper cites Open-vocabulary object segmentation with diffusion models.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Open-vocabulary object segmentation with diffusion models

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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

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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

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Observation 708b6bc7-95bb-49cc-ba39-36eae8f45044 · outbound

This paper cites ECoDepth: Effective conditioning of diffusion models for monocular depth estimation.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks ECoDepth: Effective conditioning of diffusion models for monocular depth estimation

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Observation a40b9d81-36ec-4046-b0df-c8df1a128e6f · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks SegDiff: Image Segmentation with Diffusion Probabilistic Models

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This paper cites A generalist framework for panoptic segmentation of images and videos.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks A generalist framework for panoptic segmentation of images and videos

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:51:13.599097Z

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Observation 55e30f19-7b88-489b-90b3-d71604f1c4a0 · outbound

This paper cites DiffusionDet: Diffusion model for object detection.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffusionDet: Diffusion model for object detection

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Observation 1e9ad2d1-8de5-428d-81a3-02b07c9abf34 · outbound

This paper cites DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

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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

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:51:13.575082Z

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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

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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

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:51:13.552898Z

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+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

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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

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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

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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

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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

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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

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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: unresolved; no resolver link, observed 2026-08-16T10:51:12.814378Z

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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

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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

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