A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
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Updated
Sep 27, 2026
A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.
The official implementation of the ICML 2023 paper OFQ-ViT
High-performance LLM compression engine using SVD matrix decomposition, INT8 quantization, and output caching training acceleration.
From-scratch structured attention-head pruning — reproduces Michel et al. on GPT-2, shows where the method fails on a distilled model, and adds redundancy-scaling and layer-profile analyses.
Papers for deep neural network compression and acceleration
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