Research graph
References from MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models With Temporal Distillation. Local targets link to admitted publications; unresolved targets remain external evidence.
Denoising diffusion probabilistic models
External reference
Diffusion models beat GANs on image synthesis
External reference
10.1109/cvpr52688.2022.01042
10.1109/cvpr52688.2022.01042 · External reference
10.1109/icme55011.2023.00473
10.1109/icme55011.2023.00473 · External reference
10.1609/aaai.v37i8.26094
10.1609/aaai.v37i8.26094 · External reference
CogVideo: Large-scale pretraining for text-to-video generation via transformers
2022 · External reference
Sora: A review on background, technology, limitations, and opportunities of large vision models
2024 · External reference
10.52202/079017-0843
10.52202/079017-0843 · External reference
10.1109/cvpr52734.2025.01178
10.1109/cvpr52734.2025.01178 · External reference
A survey on audio diffusion models: Text to speech synthesis and enhancement in generative AI
2023 · External reference
10.1109/tpami.2023.3261988
10.1109/tpami.2023.3261988 · External reference
10.1093/comjnl/bxae110
10.1093/comjnl/bxae110 · External reference
Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training
2024 · External reference
10.1016/j.xinn.2025.100948
10.1016/j.xinn.2025.100948 · External reference
10.1201/9781003162810-13
10.1201/9781003162810-13 · External reference
10.1109/infoteh.2018.8345545
10.1109/infoteh.2018.8345545 · External reference
10.1109/cvpr52733.2024.01531
10.1109/cvpr52733.2024.01531 · External reference
SCP: A structure combination pruning method via structured sparse for deep convolutional neural networks
External reference
10.1016/j.sysarc.2023.102990
10.1016/j.sysarc.2023.102990 · External reference
10.18653/v1/2025.findings-acl.551
10.18653/v1/2025.findings-acl.551 · External reference
Q-Mamba: On first exploration of vision Mamba for image quality assessment
2024 · External reference
Learned step size quantization
2019 · External reference
10.1109/cvpr.2018.00286
10.1109/cvpr.2018.00286 · External reference
Quantizing deep convolutional networks for efficient inference: A whitepaper
1806 · External reference
BinaryDM: Towards accurate binarization of diffusion model
2024 · External reference
10.52202/075280-3350
10.52202/075280-3350 · External reference
10.52202/079017-1231
10.52202/079017-1231 · External reference
Improving post training neural quantization: Layer-wise calibration and integer programming
2020 · External reference
Towards accurate post-training network quantization via bit-split and stitching
External reference
QDrop: Randomly dropping quantization for extremely low-bit post-training quantization
2022 · External reference
10.1109/cvpr52729.2023.02340
10.1109/cvpr52729.2023.02340 · External reference
EfficientDM: Efficient quantization-aware fine-tuning of low-bit diffusion models
2023 · External reference
10.1609/aaai.v39i16.33823
10.1609/aaai.v39i16.33823 · External reference
LoRA: Low-rank adaptation of large language models
2021 · External reference
Denoising diffusion implicit models
2020 · External reference
10.1109/iccv51070.2023.00387
10.1109/iccv51070.2023.00387 · External reference
10.1109/cvpr52734.2025.00744
10.1109/cvpr52734.2025.00744 · External reference
10.52202/079017-2938
10.52202/079017-2938 · External reference
Pseudo numerical methods for diffusion models on manifolds
2022 · External reference
10.52202/068431-0418
10.52202/068431-0418 · External reference
10.1007/s11633-025-1562-4
10.1007/s11633-025-1562-4 · External reference
Progressive distillation for fast sampling of diffusion models
2022 · External reference
Consistency models
External reference
10.1145/3664647.3680768
10.1145/3664647.3680768 · External reference
Q-VDiT: Towards accurate quantization and distillation of video-generation diffusion transformers
2025 · External reference
10.1109/tpami.2023.3272925
10.1109/tpami.2023.3272925 · External reference
10.1109/tpami.2025.3554523
10.1109/tpami.2025.3554523 · External reference
10.1109/iccv.2019.00038
10.1109/iccv.2019.00038 · External reference
SmoothQuant: Accurate and efficient post-training quantization for large language models
External reference
10.1109/iccv51070.2023.01608
10.1109/iccv51070.2023.01608 · External reference
10.1109/cvpr52729.2023.00196
10.1109/cvpr52729.2023.00196 · External reference
10.52202/075280-0580
10.52202/075280-0580 · External reference
10.1109/cvpr52733.2024.00703
10.1109/cvpr52733.2024.00703 · External reference
10.1109/cvpr52733.2024.01517
10.1109/cvpr52733.2024.01517 · External reference
10.52202/079017-2006
10.52202/079017-2006 · External reference
10.1109/iccv51701.2025.01442
10.1109/iccv51701.2025.01442 · External reference
10.1609/aaai.v37i7.26084
10.1609/aaai.v37i7.26084 · External reference
10.1145/3343031.3350534
10.1145/3343031.3350534 · External reference
Larq compute engine: Design, benchmark and deploy state-of-the-art binarized neural networks
External reference
10.1109/tpami.2023.3257878
10.1109/tpami.2023.3257878 · External reference
10.1109/tpami.2020.2992393
10.1109/tpami.2020.2992393 · External reference
10.52202/068431-0323
10.52202/068431-0323 · External reference
GPTQ: Accurate post-training quantization for generative pre-trained transformers
2022 · External reference
10.1016/0024-3795(87)90114-5
10.1016/0024-3795(87)90114-5 · External reference
HAWQ-V3: Dyadic neural network quantization
External reference
LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop
2015 · External reference
10.1109/cvpr.2009.5206848
10.1109/cvpr.2009.5206848 · External reference
10.1007/978-3-319-10602-1_48
10.1007/978-3-319-10602-1_48 · External reference
Improved techniques for training GANs
External reference
GANs trained by a two time-scale update rule converge to a local Nash equilibrium
External reference
Generating images with sparse representations
2021 · External reference
10.18653/v1/2021.emnlp-main.595
10.18653/v1/2021.emnlp-main.595 · External reference
10.1109/cvpr52688.2022.01200
10.1109/cvpr52688.2022.01200 · External reference
PyTorch: An imperative style, high-performance deep learning library
External reference
