1 citations · 1 across the 4 of their papers we have counts for
4 papers
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
Haipeng Liu, Yang Wang, Biao Qian +2
Denoising diffusion probabilistic models for image inpainting aim to add the noise to the texture of image during the forward process and recover masked regions with unmasked ones…
Adaptive Data-Free Quantization
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without the original data, but generates the fake sample via a generator (G) by learning from full-pr…
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
Haoran Sun, Yang Wang, Haipeng Liu +1
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolu…
Rethinking Data-Free Quantization as a Zero-Sum Game
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the real data, but generates the fake sample via a generator (G) by learning from f…