MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture | Paper Citation Record

Observation 054b02e0-e30c-4fdf-babe-0a326e1383bf · outbound

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

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Imagenet: A large-scale hierarchical image database

Reference 1

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This paper cites Diffusion models beat gans on image synthesis.Neural Information Process- ing Systems (NeurIPS), 2021.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Diffusion models beat gans on image synthesis.Neural Information Process- ing Systems (NeurIPS), 2021

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This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 3

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This paper cites (b) A bird on theleftof a clock.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture (b) A bird on theleftof a clock

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This paper cites One step diffusion via shortcut models.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture One step diffusion via shortcut models

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This paper cites MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

Reference 6

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This paper cites Diffit: Diffusion vision transformers for im- age generation.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Diffit: Diffusion vision transformers for im- age generation

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This paper cites Classifier-free diffusion guidance.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Classifier-free diffusion guidance

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This paper cites Denoising dif- fusion probabilistic models.Neural Information Processing Systems (NeurIPS), 2020.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Denoising dif- fusion probabilistic models.Neural Information Processing Systems (NeurIPS), 2020

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Observation 6bc11d43-b9ee-40b5-96c8-78c5ce78bb4b · outbound

This paper cites Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Reference 10

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This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.Neural Information Process- ing Systems (NeurIPS), 2025.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Self forcing: Bridging the train-test gap in autoregressive video diffusion.Neural Information Process- ing Systems (NeurIPS), 2025

Reference 11

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This paper cites Fleet, and Ting Chen.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Fleet, and Ting Chen

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Observation 9e4cd830-168f-4fa3-85b8-3bf5806630c3 · outbound

This paper cites No other representation component is needed: Diffusion transformers can provide representation guidance by themselves.arXiv preprint arXiv:2505.02831,.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture No other representation component is needed: Diffusion transformers can provide representation guidance by themselves.arXiv preprint arXiv:2505.02831,

Reference 13

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Observation 19d84541-e66c-41a5-b3b5-ecc3668337ee · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Neural Information Processing Systems (NeurIPS),.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Elucidating the design space of diffusion-based generative models.Neural Information Processing Systems (NeurIPS),

Reference 14

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This paper cites Guiding a diffusion model with a bad version of itself.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Guiding a diffusion model with a bad version of itself

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Observation c5651406-6942-4aa5-929f-e9a5cfa46acd · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Analyzing and improving the training dynamics of diffusion models

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This paper cites Variational diffusion models.Neural Information Pro- cessing Systems (NeurIPS), 2021.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Variational diffusion models.Neural Information Pro- cessing Systems (NeurIPS), 2021

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Observation fffb5023-c552-4a63-9cf1-e4a82e777f49 · outbound

This paper cites Boosting generative image modeling via joint image-feature synthe- sis.arXiv preprint arXiv:2504.16064, 2025.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Boosting generative image modeling via joint image-feature synthe- sis.arXiv preprint arXiv:2504.16064, 2025

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Observation a279787d-bff8-4ca3-91a4-217fe899d0fc · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers.IEEE International Conference on Computer Vision (ICCV), 2025.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers.IEEE International Conference on Computer Vision (ICCV), 2025

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Observation 9c147807-becd-47aa-b097-11a7c20d32de · outbound

This paper cites Alleviating exposure bias in diffusion mod- els through sampling with shifted time steps.International Conference on Learning Representations (ICLR), 2024.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Alleviating exposure bias in diffusion mod- els through sampling with shifted time steps.International Conference on Learning Representations (ICLR), 2024

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This paper cites Autoregressive image generation without vec- tor quantization.Neural Information Processing Systems (NeurIPS), 2024.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Autoregressive image generation without vec- tor quantization.Neural Information Processing Systems (NeurIPS), 2024

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Observation 83b41f4f-de9e-4488-99fb-f1819ef5c665 · outbound

This paper cites On error propa- gation of diffusion models.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture On error propa- gation of diffusion models

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This paper cites Flow matching for generative modeling.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Flow matching for generative modeling

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Observation 716e41c1-8c12-40a7-9f1b-991d51ee6152 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Flow straight and fast: Learning to generate and transfer data with rectified flow

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Observation e31ea876-6eec-4552-bea1-9d3b7f4569bb · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

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Observation 09055d7d-5379-4810-aa31-8c551a235e7c · outbound

This paper cites Sit: Explor- ing flow and diffusion-based generative models with scalable interpolant transformers.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Sit: Explor- ing flow and diffusion-based generative models with scalable interpolant transformers

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This paper cites Input perturbation reduces exposure bias in diffusion models.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Input perturbation reduces exposure bias in diffusion models

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Observation 3f911833-0bb6-4e75-b5d0-c31de5e02c7e · outbound

This paper cites Elucidating the exposure bias in diffusion models.International Conference on Learning Representa- tions (ICLR), 2024.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Elucidating the exposure bias in diffusion models.International Conference on Learning Representa- tions (ICLR), 2024

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Observation fcbd7c2c-95e2-4437-b82a-ee0c55359c85 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research (TMLR), 2024.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research (TMLR), 2024

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Observation 1aef12bb-921c-428b-9a35-a875aa54fdc2 · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Normalizing flows for probabilistic modeling and inference

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Observation 955458cf-4534-4bfa-ac4b-7502282b53c1 · outbound

This paper cites Scalable diffusion mod- els with transformers.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Scalable diffusion mod- els with transformers

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This paper cites Sequence Level Training with Recurrent Neural Networks.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Sequence Level Training with Recurrent Neural Networks

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Multi-step denoising scheduled sampling: Towards alleviating exposure bias for diffusion models

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture High-resolution image syn- thesis with latent diffusion models

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Neural Information Processing Sys- tems (NeurIPS), 2022.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Photorealistic text-to-image diffusion models with deep language understanding.Neural Information Processing Sys- tems (NeurIPS), 2022

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Generalization in Generation: A closer look at Exposure Bias

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Denois- ing diffusion implicit models

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This paper cites Selective underfitting in dif- fusion models.arXiv preprint arXiv:2510.01378, 2025.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Selective underfitting in dif- fusion models.arXiv preprint arXiv:2510.01378, 2025

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This paper cites Generative modeling by esti- mating gradients of the data distribution.Neural Information Processing Systems (NeurIPS), 2019.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Generative modeling by esti- mating gradients of the data distribution.Neural Information Processing Systems (NeurIPS), 2019

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Score-based generative modeling through stochastic differential equa- tions

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Contrastive Flow Matching

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This paper cites Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Visual autoregressive modeling: Scalable image gen- eration via next-scale prediction.Neural Information Pro- cessing Systems (NeurIPS), 2024

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Diffuse and Disperse: Image Generation with Representation Regularization

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This paper cites PixNerd: Pixel Neural Field Diffusion.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture PixNerd: Pixel Neural Field Diffusion

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture DDT: Decoupled Diffusion Transformer

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Representation entanglement for genera- tion: Training diffusion transformers is much easier than you think.Neural Information Processing Systems (NeurIPS),

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Reconstruc- tion vs

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture An image is worth 32 tokens for reconstruction and generation.Neural Infor- mation Processing Systems (NeurIPS), 2024

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This paper cites Manifold con- 10 straint reduces exposure bias in accelerated diffusion sam- pling.International Conference on Learning Representa- tions (ICLR), 2024.

MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Manifold con- 10 straint reduces exposure bias in accelerated diffusion sam- pling.International Conference on Learning Representa- tions (ICLR), 2024

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MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture Fast Training of Diffusion Models with Masked Transformers

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