CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation | Paper Citation Record

Observation bb823ee2-e6d3-49fb-b265-0c3495726454 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation In- structpix2pix: Learning to follow image editing instructions

Reference 1

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Observation f24e8ce6-5464-4c1e-846d-7b81f34ccb14 · outbound

This paper cites Maskgit: Masked generative image transformer.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Maskgit: Masked generative image transformer

Reference 2

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Observation 3ded3b40-9314-4d6f-a7ca-ad7abe847f59 · outbound

This paper cites Animegan: A novel lightweight gan for photo animation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Animegan: A novel lightweight gan for photo animation

Reference 3

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Observation 1e98d8e2-cc59-461d-9630-a42b4ef08a67 · outbound

This paper cites Cartoongan: Generative adversarial networks for photo cartoonization.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Cartoongan: Generative adversarial networks for photo cartoonization

Reference 4

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Observation c8710bbe-0081-4a5d-b2e9-2a4c26113d76 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Imagenet: A large-scale hierarchical image database

Reference 5

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Observation 32933c70-d78b-46c7-82ca-ba10d785b33f · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Taming transformers for high-resolution image synthesis

Reference 6

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Observation d320e77b-34e1-46e2-9948-1853c04b42df · outbound

This paper cites Dual contrastive learning for unsu- pervised image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Dual contrastive learning for unsu- pervised image-to-image translation

Reference 7

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Observation f91dc1a5-0b83-4750-a567-f273afda7669 · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 8

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Observation 80aa5f63-8f4d-429d-931d-4cc655abc4a2 · outbound

This paper cites Multimodal unsupervised image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Multimodal unsupervised image-to-image translation

Reference 9

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Observation 962a069e-f69b-421e-9e93-8d10edfde548 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Image-to-image translation with conditional adver- sarial networks

Reference 10

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Observation be6fb220-3ca8-4ec7-aa0b-fb3d7dc9850d · outbound

This paper cites Scenimefy: Learning to craft anime scene via semi- supervised image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Scenimefy: Learning to craft anime scene via semi- supervised image-to-image translation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:52.327836Z

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Observation 8ddd212d-9d50-4db8-953c-b720793f4f42 · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation A style-based generator architecture for generative adversarial networks

Reference 12

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Observation b682a38b-ce4d-4765-b4e0-9b24cd58595f · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Analyzing and improv- ing the image quality of stylegan

Reference 13

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Observation aea0d49a-f462-41f7-a08d-023cd92ecb87 · outbound

This paper cites Learning to discover cross-domain relations with generative adversarial networks.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Learning to discover cross-domain relations with generative adversarial networks

Reference 14

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Observation ee04c443-8892-4c78-99a1-3fada289fb0c · outbound

This paper cites Autoregressive image generation using residual quantization.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Autoregressive image generation using residual quantization

Reference 15

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Observation 81e33db9-e0c4-45ba-8553-627333eceab3 · outbound

This paper cites Diverse image-to-image translation via disentangled representations.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Diverse image-to-image translation via disentangled representations

Reference 16

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Observation b89c79a1-67c6-413d-a5c0-c6ee4644271b · outbound

This paper cites Con- trolnet++: Improving conditional controls with efficient 9 consistency feedback: Project page: liming-ai.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Con- trolnet++: Improving conditional controls with efficient 9 consistency feedback: Project page: liming-ai

Reference 17

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Observation cc4cd64b-4246-4bcc-9f40-48564fcee953 · outbound

This paper cites Autoregressive image generation without vec- tor quantization.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Autoregressive image generation without vec- tor quantization

Reference 18

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Observation 07f804d9-b807-49e5-aa2a-59632fa7950a · outbound

This paper cites ControlVAR: Exploring Controllable Visual Autoregressive Modeling.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation ControlVAR: Exploring Controllable Visual Autoregressive Modeling

Reference 19

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Observation f4337da5-9c81-4a02-83f6-507120729250 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Gligen: Open-set grounded text-to-image generation

Reference 20

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Observation 3c8ffbba-39cb-4e65-bbdd-3f78efc9d3c4 · outbound

This paper cites ControlAR: Controllable Image Generation with Autoregressive Models.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation ControlAR: Controllable Image Generation with Autoregressive Models

Reference 21

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Observation 82e9cc49-9856-4f30-86c5-0eab0a8f9263 · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 22

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Observation 5ea88251-6d04-4cff-842b-fd6359a7cac2 · outbound

This paper cites Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining

Reference 23

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Observation 23bf9b36-5663-4246-ab20-c1661478bcf8 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 24

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Observation 06c5a40f-b901-49b4-b398-0a7bd5f7c290 · outbound

This paper cites STAR: Scale-wise Text-conditioned AutoRegressive image generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 25

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Observation fa35303c-4f10-4338-9fdc-b800f8aa2a1a · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 26

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Observation a98699ab-30ef-4969-9ca3-91ff4642380d · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:50.341761Z

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Observation 96a49a75-ae84-43b3-b308-a0c4f9c54f00 · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Semantic image synthesis with spatially-adaptive nor- malization

Reference 28

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Observation 37b07edb-a61e-4af1-8e67-fa924a488062 · outbound

This paper cites Zero-shot image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Zero-shot image-to-image translation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:50.109833Z

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Observation 6f92761f-47c5-429e-a356-f811182914de · outbound

This paper cites One-Step Image Translation with Text-to-Image Models.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation One-Step Image Translation with Text-to-Image Models

Reference 30

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Observation 960081c9-1591-4327-80e0-825e0f584fba · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 31

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Observation 4276cbb8-05bd-45fd-8e9a-cc8033035990 · outbound

This paper cites Efficiently scaling transformer inference.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Efficiently scaling transformer inference

Reference 32

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Observation 7cb968ad-beae-4cdd-82a6-a13c7827d1b0 · outbound

This paper cites Zero-shot text-to-image generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Zero-shot text-to-image generation

Reference 33

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Observation 52dd61e2-ee8d-4b32-93c8-c67ef5345e64 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Gener- ating diverse high-fidelity images with vq-vae-2

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:49.655633Z

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Observation e63a591a-a9e1-4b00-afcd-eb6c57869cea · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation High-resolution image synthesis with latent diffusion models

Reference 35

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Observation 9dcb8852-39c5-4da8-9c05-469a6e089d5f · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 36

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Observation cdd67850-dacc-4bed-9236-35918dc4865b · outbound

This paper cites Scribbler: Controlling deep image synthesis with sketch and color.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Scribbler: Controlling deep image synthesis with sketch and color

Reference 37

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Observation 4fcef48c-15ad-40e9-80b7-b46c75d991cd · outbound

This paper cites Adversarial diffusion distillation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Adversarial diffusion distillation

Reference 38

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This paper cites Learning from simulated and unsupervised images through adversarial training.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Learning from simulated and unsupervised images through adversarial training

Reference 39

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Observation 1bfd4f77-cd60-4b62-8425-5b02ebb041a5 · outbound

This paper cites Aligning latent and image spaces to connect the un- connectable.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Aligning latent and image spaces to connect the un- connectable

Reference 40

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Observation b7be399d-0264-401b-873d-efb44b72a7e8 · outbound

This paper cites Dual Diffusion Implicit Bridges for Image-to-Image Translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Dual Diffusion Implicit Bridges for Image-to-Image Translation

Reference 41

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Observation 3f493540-ccc9-448c-ac4a-c4637eb89cf9 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 42

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Observation f17bbfe0-7f5b-451d-b44b-a2f61f9dd137 · outbound

This paper cites Unsupervised Cross-Domain Image Generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unsupervised Cross-Domain Image Generation

Reference 43

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Observation 8901429e-8cb8-471f-bf53-a53bc695cdae · outbound

This paper cites HART: Efficient Visual Generation with Hybrid Autoregressive Transformer.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation HART: Efficient Visual Generation with Hybrid Autoregressive Transformer

Reference 44

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Observation 9dc51c88-7357-4f98-a4a9-1de3b1eb3ffd · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 45

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Observation 16d7a594-db3f-46e5-a40e-7d35d0453eda · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation LLaMA: Open and Efficient Foundation Language Models

Reference 46

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Observation b858dc2b-9146-49ad-ba23-1754948ddaeb · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Plug-and-play diffusion features for text-driven image-to-image translation

Reference 47

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Observation bb02764e-48d9-4930-b1d3-bc2dffbd36b4 · outbound

This paper cites Conditional image genera- tion with pixelcnn decoders.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Conditional image genera- tion with pixelcnn decoders

Reference 48

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Observation 11303c00-67d4-4597-9368-b8331bebbd91 · outbound

This paper cites Pixel recurrent neural networks.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Pixel recurrent neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.704978Z

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Observation a7e73dc1-20c8-4693-856e-7aed8f0d9e83 · outbound

This paper cites Neural discrete representation learning.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Neural discrete representation learning

Reference 50

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Observation f90fd5e4-e65e-495f-bf49-0579ea061b7c · outbound

This paper cites High-resolution image syn- thesis and semantic manipulation with conditional gans.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation High-resolution image syn- thesis and semantic manipulation with conditional gans

Reference 51

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Observation c080bee2-bbad-4643-8bc4-75d451b548f1 · outbound

This paper cites Learning to cartoonize us- ing white-box cartoon representations.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Learning to cartoonize us- ing white-box cartoon representations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.526088Z

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Observation 9e1c68f8-4d19-4a68-b163-96cd713688c2 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Emu3: Next-Token Prediction is All You Need

Reference 53

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Observation 0584dbe4-0602-4d4d-bf82-cee1d647d7bc · outbound

This paper cites A latent space of stochastic diffusion models for zero-shot image editing and guidance.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation A latent space of stochastic diffusion models for zero-shot image editing and guidance

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.375911Z

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Observation be7bcf72-a1d9-4556-9ef2-dc1f1a52b793 · outbound

This paper cites Dual- gan: Unsupervised dual learning for image-to-image trans- lation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Dual- gan: Unsupervised dual learning for image-to-image trans- lation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.273635Z

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Observation 6508d33f-f4f4-4ed3-8920-8a17bc21eda7 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.204039Z

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Observation 29cadb39-d80a-4d47-92ca-1aec93da7c87 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 57

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Observation cc735ef1-84e9-422c-b7b9-31d94d8dad68 · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Adding conditional control to text-to-image diffusion models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:45.455486Z

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Observation 403a70da-72c2-469a-8beb-860b8f66a223 · outbound

This paper cites VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:45.539495Z

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Observation 9756a553-b610-4cb4-9eb9-6bde7ca5b597 · outbound

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

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Uni-controlnet: All-in-one control to text-to-image diffusion models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:48.038384Z

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Observation 582f7a96-2f8f-4b72-99bf-06260014310e · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:47.901732Z

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Observation 4b946df4-f4f2-4fb6-ac95-cb308386884e · outbound

This paper cites Contrastive learning for unpaired image-to-image translation.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Contrastive learning for unpaired image-to-image translation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:47.793659Z

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Observation b5f1ed3c-a900-4471-9400-644cff99f85f · outbound

This paper cites Sean: Image synthesis with semantic region-adaptive nor- malization.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Sean: Image synthesis with semantic region-adaptive nor- malization

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:45.810130Z

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Observation afb1a778-0762-468b-bd7b-916f15430341 · outbound

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CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:49:47.552197Z

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Observation 6bc92c5d-6c85-4e6b-835e-f4ada1c9a653 · outbound

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CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:49:47.443443Z

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Observation 82a99b83-f93e-4a6e-8a4a-0b205254bb82 · outbound

This paper cites next-scale.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation next-scale

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:47.218479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b9edbe2-b694-4f56-bc28-171239b6d9f3 · outbound

This paper cites Inference Time Comparison.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Inference Time Comparison

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:46.939241Z

Source-reported events for the cited work

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Observation 63d88f45-f7b1-494a-8cac-e7a314042af7 · outbound

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CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:49:46.819843Z

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Observation 906da96c-1e32-468f-b3f3-f6710f3bd0db · outbound

This paper cites The overall color scheme of Car- toonGAN’s images tends to be either too washed out or too dark.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation The overall color scheme of Car- toonGAN’s images tends to be either too washed out or too dark

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:46.719403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62ca4c95-7ec4-4c96-96b6-a2bc88018c08 · outbound

This paper cites an unresolved cited work.

CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Unresolved cited work

Reference 2020

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Source-reported events for the cited work

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