Xingyu-Zheng / BinaryDMLinks
(ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
☆24Updated last year
Alternatives and similar repositories for BinaryDM
Users that are interested in BinaryDM are comparing it to the libraries listed below
Sorting:
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 10 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste…☆37Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆104Updated last week
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆53Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆66Updated last year
- super-resolution; post-training quantization; model compression☆12Updated last year
- ☆14Updated 6 months ago
- [ICCV2025]Generate one 2K image on single 3090 GPU!☆69Updated last month
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆18Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated 2 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆201Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆139Updated 2 years ago
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Updated 10 months ago
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆74Updated last year
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆30Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆79Updated last year
- FFNet: MetaMixer-based Efficient Convolutional Mixer Design☆30Updated 6 months ago
- a training-free approach to accelerate ViTs and VLMs by pruning redundant tokens based on similarity☆37Updated 4 months ago
- Official repository of InLine attention (NeurIPS 2024)☆55Updated 9 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- ☆47Updated 2 years ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆100Updated last year
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 6 months ago
- ☆13Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆59Updated 6 months ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated last year
- ☆45Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆33Updated 11 months ago
- WeGeFT: Weight‑Generative Fine‑Tuning for Multi‑Faceted Efficient Adaptation of Large Models☆21Updated 2 months ago