GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators | Paper Citation Record

Observation 56fb4284-8bda-4269-a25b-07ac07fb1b1f · outbound

This paper cites 3da- vatargan: Bridging domains for personalized editable avatars.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators 3da- vatargan: Bridging domains for personalized editable avatars

Reference 1

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Observation 9a6ded32-3794-499e-8a42-7a116e5d0538 · outbound

This paper cites HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

Reference 2

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Observation 0ca3fc12-351d-4f1b-a4f2-d16cd579026f · outbound

This paper cites Styledomain: Efficient and lightweight parameteriza- tions of stylegan for one-shot and few-shot domain adaptation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Styledomain: Efficient and lightweight parameteriza- tions of stylegan for one-shot and few-shot domain adaptation

Reference 3

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Observation 0619ef3c-e3ab-44d2-ac31-15c889b71350 · outbound

This paper cites pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis

Reference 4

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Observation 7feb22d2-d6a7-4812-b74f-71bb64adceb9 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Efficient geometry-aware 3d generative adversarial networks

Reference 5

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Observation 38985696-c300-4a3d-9b96-268b1e32ff0b · outbound

This paper cites Accurate 3d face reconstruction with weakly- supervised learning: From single image to image set.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Accurate 3d face reconstruction with weakly- supervised learning: From single image to image set

Reference 6

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Observation daa189b0-dc77-47ea-89c1-03cba500d9f0 · outbound

This paper cites Wedit- gan: Few-shot image generation via latent space relocation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Wedit- gan: Few-shot image generation via latent space relocation

Reference 7

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Observation d929b6df-80bd-4d4a-80a4-c70727dbd312 · outbound

This paper cites Multiscale vision transformers.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Multiscale vision transformers

Reference 8

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Observation 145f693f-8d5f-47e6-9770-8c5c76e1b4c0 · outbound

This paper cites StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

Reference 9

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Observation 1d3faf02-cc49-4f1c-a487-8c1e00343d22 · outbound

This paper cites Stylenerf: A style-based 3d aware generator for high- resolution image synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Stylenerf: A style-based 3d aware generator for high- resolution image synthesis

Reference 10

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Observation c5a17a2e-3038-4234-b675-8230f1ebda0c · outbound

This paper cites Vector quan- tized diffusion model for text-to-image synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Vector quan- tized diffusion model for text-to-image synthesis

Reference 11

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Observation 4fa72159-86b6-423f-8879-ef33e3bc1902 · outbound

This paper cites Style aligned image generation via shared at- tention.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Style aligned image generation via shared at- tention

Reference 12

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Observation 5b48976b-31b5-4b85-a614-e7feafd87768 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Denoising Diffusion Probabilistic Models

Reference 13

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This paper cites an unresolved cited work.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Unresolved cited work

Reference 14

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Observation b360d6f3-705d-44b6-9c2d-f070028cb055 · outbound

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

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators A style-based generator architecture for generative adversarial networks

Reference 15

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Observation 1cf38990-8a16-4237-a2a0-2987d5d53957 · outbound

This paper cites Analyzing and improv- ing the image quality of stylegan.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Analyzing and improv- ing the image quality of stylegan

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.712817Z

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Observation 7e74cc03-980a-4dea-a148-1121c1b755ba · outbound

This paper cites DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model

Reference 17

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Observation d7992e38-3678-4c80-b080-b7448fa62ba2 · outbound

This paper cites Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion

Reference 18

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Observation 10606759-ca5b-48cb-9a87-cee536d105d2 · outbound

This paper cites DiffFace: Diffusion-based Face Swapping with Facial Guidance.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators DiffFace: Diffusion-based Face Swapping with Facial Guidance

Reference 19

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Observation 08c68656-7d48-433c-89de-2b9bd60a3be3 · outbound

This paper cites Diffusiongan3d: Boosting text-guided 3d generation and domain adaptation by combining 3d gans and diffusion priors.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Diffusiongan3d: Boosting text-guided 3d generation and domain adaptation by combining 3d gans and diffusion priors

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.667834Z

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Observation 2a6ba396-fb44-4486-bcaa-fef070d5506d · outbound

This paper cites Few-shot hybrid domain adaptation of image gen- erator.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot hybrid domain adaptation of image gen- erator

Reference 21

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Observation f4932f67-3790-4aaf-b909-f4cc423ff4ba · outbound

This paper cites UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation

Reference 22

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Observation da75591e-4042-4aab-9696-6e60e7b7910f · outbound

This paper cites PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation

Reference 23

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Observation 3bb0839c-64fb-46f7-b22e-914354d997f5 · outbound

This paper cites Few-shot Image Generation with Elastic Weight Consolidation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot Image Generation with Elastic Weight Consolidation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:25:38.797046Z

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Observation f3386083-55e0-4b41-a0de-396a40e0bc99 · outbound

This paper cites Towards unsupervised learning of generative mod- els for 3d controllable image synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Towards unsupervised learning of generative mod- els for 3d controllable image synthesis

Reference 25

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Observation 7e22cb3b-315d-4ee3-aee1-f4364fc3211b · outbound

This paper cites Text-driven generative domain adaptation with spectral consistency regularization.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Text-driven generative domain adaptation with spectral consistency regularization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.589707Z

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Observation bff0098a-466f-4737-a349-d9230268d792 · outbound

This paper cites Deltaedit: Exploring text-free training for text-driven image manipulation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Deltaedit: Exploring text-free training for text-driven image manipulation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.566087Z

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Observation 2c98012a-2d24-43fc-88a3-455ea9ca23a3 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.538774Z

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Observation fe56665a-725d-44cf-9c8a-5663ed5e480b · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 29

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Observation 1a87d0be-0b1b-4734-980d-0efe932f46d3 · outbound

This paper cites Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

Reference 30

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Observation 904b505a-bfc4-41bf-8964-883c7f46970d · outbound

This paper cites Freecontrol: Training- free spatial control of any text-to-image diffusion model with any condition.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Freecontrol: Training- free spatial control of any text-to-image diffusion model with any condition

Reference 31

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Observation f7694c08-338d-468d-b04a-1ae796809f5f · outbound

This paper cites Few-shot cross-domain image generation via inference-time latent-code learning.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot cross-domain image generation via inference-time latent-code learning

Reference 32

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Observation d087eda4-85bf-42d3-a3ba-9c8b83dd0529 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 33

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Observation 65b92896-8489-4ccf-85c7-d5648de9b305 · outbound

This paper cites Blockgan: Learning 3d object-aware scene representations from unlabelled images.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Blockgan: Learning 3d object-aware scene representations from unlabelled images

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.455969Z

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Observation fb821278-ec6a-45fa-aaea-0023b472e3c0 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Improved Denoising Diffusion Probabilistic Models

Reference 35

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Observation 524efaa0-accd-4b0e-85fb-9ba429460c6a · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 36

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Observation a7753976-c295-412c-8eed-f3f5adbafbcb · outbound

This paper cites Giraffe: Represent- ing scenes as compositional generative neural feature fields.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Giraffe: Represent- ing scenes as compositional generative neural feature fields

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.429394Z

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Observation 46aa3fc7-8609-4199-b992-740c32261490 · outbound

This paper cites Domain expansion of image generators.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Domain expansion of image generators

Reference 38

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Observation 9777857a-a1d7-46f9-a9e6-4fddb1efdb4a · outbound

This paper cites Few-shot image generation via cross-domain correspondence.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot image generation via cross-domain correspondence

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.373808Z

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Observation 4df4823a-b088-43b4-ae52-2e88521a59e8 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Representation Learning with Contrastive Predictive Coding

Reference 40

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Observation c0549662-3482-432a-9b98-69da134a7ce1 · outbound

This paper cites StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Reference 41

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Observation bed31321-8a87-4351-a631-1e400aa00b65 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators DreamFusion: Text-to-3D using 2D Diffusion

Reference 42

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Observation d649a5af-5140-4f05-91f1-444b0d14df0f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Learning Transferable Visual Models From Natural Language Supervision

Reference 43

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Observation 50c87249-1fd3-4284-8368-fed8238f385b · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T11:25:38.950685Z

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Observation 73e17cfa-ba07-4f93-be96-db148f359453 · outbound

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

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:25:38.957178Z

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Observation 244a696d-86df-45e1-b92f-cd8bb78aa6e8 · outbound

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

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators High-resolution image synthesis with latent diffusion models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.336459Z

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Observation 4f69c84c-90da-457b-b149-b1abdd7fb41d · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.312142Z

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Observation 4151fc09-a685-4ac1-b98a-173fa1598cbd · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 48

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Observation 36660ae5-b338-4c4e-a715-080eb4252732 · outbound

This paper cites Improved techniques for training gans.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Improved techniques for training gans

Reference 49

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Observation 333bc4a4-fd96-4ee1-b68f-20b3787d225c · outbound

This paper cites Graf: Generative radiance fields for 3d-aware im- age synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Graf: Generative radiance fields for 3d-aware im- age synthesis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.269655Z

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Observation 5c943fd3-10d4-4d88-9148-139e50121152 · outbound

This paper cites Diffusion Guided Domain Adaptation of Image Generators.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Diffusion Guided Domain Adaptation of Image Generators

Reference 51

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Observation 89cd403b-35a9-48fe-a3c2-bd51a553c114 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Score-Based Generative Modeling through Stochastic Differential Equations

Reference 52

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This paper cites Designing an encoder for stylegan image manipulation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Designing an encoder for stylegan image manipulation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.249728Z

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Observation 89554921-fae8-4483-ba3e-a4d857a76652 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 54

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Observation b1e829aa-b058-4c95-a495-2f6e4ddf4f31 · outbound

This paper cites Sketch- guided text-to-image diffusion models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Sketch- guided text-to-image diffusion models

Reference 55

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Observation bbb06a07-e758-4d2f-a5fc-e17adc911980 · outbound

This paper cites Domain re-modulation for few-shot generative domain adaptation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Domain re-modulation for few-shot generative domain adaptation

Reference 56

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Observation 51f9b36a-021a-4b6e-a073-8d0d4804f057 · outbound

This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 57

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This paper cites Few shot generative model adaption via relaxed spatial structural alignment.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few shot generative model adaption via relaxed spatial structural alignment

Reference 58

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Observation 5e17a929-0cb5-4cf4-8a80-d1f951c0bb68 · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 59

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Observation a1d073f0-3d58-4d5f-96df-8a7eb700e636 · outbound

This paper cites LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models

Reference 60

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Observation 1f6e0ac0-99c6-4bc9-a023-9464d5ef1fed · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 61

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This paper cites StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:25:39.332555Z

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Observation 8d59ac32-0745-4c99-91fb-737dabaa0dff · outbound

This paper cites Deformtoon3d: Deformable neural radiance fields for 3d toonification.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Deformtoon3d: Deformable neural radiance fields for 3d toonification

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.119532Z

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Observation 680b6635-bd4e-44c5-99c5-dc4e6c3f06b9 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Adding conditional control to text-to-image diffusion models

Reference 64

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Observation 4c2b6e1f-52fe-45fe-9989-96c67cc5e96f · outbound

This paper cites Towards diverse and faithful one-shot adaption of generative adversarial networks.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Towards diverse and faithful one-shot adaption of generative adversarial networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.088369Z

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Observation a3dcefda-6a27-4860-bf92-d2a6b69ecf28 · outbound

This paper cites Uni- controlnet: All-in-one control to text-to-image diffusion mod- els.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Uni- controlnet: All-in-one control to text-to-image diffusion mod- els

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.065124Z

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Observation b16bd9ae-60f6-4c1a-b70e-63dce6de93a4 · outbound

This paper cites Few-shot image gen- eration via adaptation-aware kernel modulation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot image gen- eration via adaptation-aware kernel modulation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.042254Z

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Observation 8299c244-29de-41b9-8070-0cd07c36760c · outbound

This paper cites A closer look at few-shot image generation.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators A closer look at few-shot image generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:40.018139Z

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Observation 86e081fe-053f-4bb2-bd39-45b67e604006 · outbound

This paper cites Local Conditional Controlling for Text-to-Image Diffusion Models.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Local Conditional Controlling for Text-to-Image Diffusion Models

Reference 69

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Observation b991fde7-150f-45b3-b0b1-4c1cd8d227a4 · outbound

This paper cites CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T11:25:39.173833Z

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Observation 8673ad89-b3b3-4428-894d-b1578bec7f8b · outbound

This paper cites Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks

Reference 71

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Observation e2726634-6a54-4597-ac84-e65af3d08cb7 · outbound

This paper cites One model to edit them all: Free-form text-driven image manipu- lation with semantic modulations.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators One model to edit them all: Free-form text-driven image manipu- lation with semantic modulations

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:39.995593Z

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Observation ddfa650c-c5f8-4faa-ab6c-7753881f3b5e · outbound

This paper cites Yoda” “WereWolf.

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Yoda” “WereWolf

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:25:39.972301Z

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