Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:25:39.194161Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2412.15491.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:25:39.194161Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:35.387278Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:37:35.941417Z
73 of 73 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 56fb4284-8bda-4269-a25b-07ac07fb1b1f · outbound
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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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
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Observation 0ca3fc12-351d-4f1b-a4f2-d16cd579026f · outbound
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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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
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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
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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
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Reference 12
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators A style-based generator architecture for generative adversarial networks
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Analyzing and improv- ing the image quality of stylegan
Reference 16
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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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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators DiffFace: Diffusion-based Face Swapping with Facial Guidance
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Reference 21
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation
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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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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Few-shot Image Generation with Elastic Weight Consolidation
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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
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Reference 26
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Reference 27
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Nerf: Representing scenes as neural radiance fields for view synthesis
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Reference 29
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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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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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Reference 33
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
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Reference 39
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Reference 42
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Reference 44
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Reference 47
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Reference 48
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GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators Improved techniques for training gans
Reference 49
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Reference 53
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Reference 57
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Reference 58
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Reference 59
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Reference 61
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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
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Reference 67
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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Reference 72
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Observation ddfa650c-c5f8-4faa-ab6c-7753881f3b5e · outbound
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Reference 73
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Observation 864e2df3-50d7-4d38-850d-6a88e5e639fd · inbound
Visual Instance-aware Prompt Tuning GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators
Reference 42
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