2026
TR-DQ: Time-Rotation Diffusion Quantization
AAAI 2026technical
Diffusion models have been widely adopted in image and video generation. However, their complex network architecture leads to high inference overhead for its generation process. Existing diffusion quantization methods primarily focus on the quantization of the model structure while ignoring the impa