Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots GPT-4 Technical Report

Reference 1

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Qwen Technical Report

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This paper cites All are worth words: A vit backbone for diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots All are worth words: A vit backbone for diffusion models

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This paper cites Large scale GAN training for high fidelity natural image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Large scale GAN training for high fidelity natural image synthesis

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This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

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This paper cites T., Rubinstein, M., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots T., Rubinstein, M., et al

Reference 7

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This paper cites Controlstyle: Text-driven stylized image generation using diffusion priors.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Controlstyle: Text-driven stylized image generation using diffusion priors

Reference 8

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Imagenet: A large-scale hierarchical image database

Reference 9

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This paper cites and Nichol, A.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Nichol, A

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This paper cites The Llama 3 Herd of Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots The Llama 3 Herd of Models

Reference 11

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Taming transformers for high-resolution image synthesis

Reference 12

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

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This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 14

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Vector quantized diffusion model for text-to-image synthesis

Reference 16

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This paper cites Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis

Reference 17

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gans trained by a two time-scale update rule converge to a local nash equilibrium

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This paper cites and Salimans, T.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Salimans, T

Reference 19

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This paper cites Denoising diffusion probabilistic models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Denoising diffusion probabilistic models

Reference 20

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This paper cites J., Norouzi, M., and Salimans, T.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots J., Norouzi, M., and Salimans, T

Reference 21

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This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 22

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Scaling up gans for text-to-image synthesis

Reference 23

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

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This paper cites Improved precision and recall metric for assessing generative models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improved precision and recall metric for assessing generative models

Reference 25

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Crafting papers on machine learning

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive image generation using residual quantization

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive image generation without vector quantization

Reference 28

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

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This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 30

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Fit: Flexible vision transformer for diffusion model

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Revisiting non-autoregressive transformers for efficient image synthesis

Reference 32

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This paper cites and Xie, S.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Xie, S

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This paper cites Boosting diffusion models with moving average sampling in frequency domain.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Boosting diffusion models with moving average sampling in frequency domain

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Language models are unsupervised multitask learners

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This paper cites FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

Reference 36

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This paper cites ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning

Reference 37

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots High-resolution image synthesis with latent diffusion models

Reference 38

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improved techniques for training gans

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Stylegan-xl: Scaling stylegan to large diverse datasets

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Ermon, S

Reference 41

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Ermon, S

Reference 42

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Hart: Efficient visual generation with hybrid autoregressive transformer

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Df-gan: A simple and effective baseline for text-to-image synthesis

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Chameleon: Mixed-Modal Early-Fusion Foundation Models

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gemini: A Family of Highly Capable Multimodal Models

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gemma 2: Improving Open Language Models at a Practical Size

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Visual autoregressive modeling: Scalable image generation via next-scale prediction

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Givt: Generative infinite-vocabulary transformers

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improving virtual try-on with garment-focused diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:19.779454Z

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This paper cites Omnitokenizer: A joint image-video tokenizer for visual generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Omnitokenizer: A joint image-video tokenizer for visual generation

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This paper cites Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Loong: Generating Minute-level Long Videos with Autoregressive Language Models

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Attention is all you need

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This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Attngan: Fine-grained text to image generation with attentional generative adversarial networks

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This paper cites G., Yang, M.-H., Hao, Y., Essa, I., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots G., Yang, M.-H., Hao, Y., Essa, I., et al

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Observation 89590f26-2dcb-4225-a18d-3410706e523f · outbound

This paper cites B., Versari, L., Sohn, K., Minnen, D., Cheng, Y., Gupta, A., Gu, X., Hauptmann, A.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots B., Versari, L., Sohn, K., Minnen, D., Cheng, Y., Gupta, A., Gu, X., Hauptmann, A

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:19.203429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1537f482-9d22-4bc2-8d6c-d8a0583f5c5e · outbound

This paper cites Y., Baldridge, J., Lee, H., and Yang, Y.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Y., Baldridge, J., Lee, H., and Yang, Y

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:19.055782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9597f5ed-79e8-49d3-8b0f-365d7d16472c · outbound

This paper cites Trip: Temporal residual learning with image noise prior for image-to-video diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Trip: Temporal residual learning with image noise prior for image-to-video diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:18.867571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 972e997b-7e4e-4002-bede-dd1a5e15b274 · outbound

This paper cites Towards language-free training for text-to-image generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Towards language-free training for text-to-image generation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:18.717608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cf81552-12e7-4de6-b4d5-abe441d8abb4 · outbound

This paper cites Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:18.544957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9eb8287c-c631-4d6a-8073-6a06088aac5b · outbound

This paper cites an unresolved cited work.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:18.407980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b42f4ddf-4989-464d-a721-93dcf5ec9cf6 · outbound

This paper cites Lumina-next : Making lumina-t2x stronger and faster with next-dit.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Lumina-next : Making lumina-t2x stronger and faster with next-dit

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:18.232865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbc5a0e9-1b33-4b30-ba50-620284fd095d · outbound

This paper cites write newline.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:17.994725Z

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