dit quantization 썸네일형 리스트형 [ICML 2025] Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers https://arxiv.org/abs/2505.22167 ICML 2025 Accepted Paper Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion TransformersDiffusion transformers (DiT) have demonstrated exceptional performance in video generation. However, their large number of parameters and high computational complexity limit their deployment on edge devices. Quantization can reduce storage r.. 더보기 [ICLR 2025] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation https://arxiv.org/abs/2406.02540 ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video GenerationDiffusion transformers have demonstrated remarkable performance in visual generation tasks, such as generating realistic images or videos based on textual instructions. However, larger model sizes and multi-frame processing for video generation lead to i.. 더보기 이전 1 다음
