GitHub

Autoregressive Image Generation using Residual Quantization (CVPR 2022)

The examples of generated images by RQ-Transformer using class conditions and text conditions. Note that the text conditions of the examples are not used in training time. TL;DR For autoregressive (AR ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling

Abstract: The blind-spot principle has been a widely used tool in zero-shot image denoising but faces challenges with real-world noise that exhibits strong local correlations. Existing methods focus ...
IEEE

BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression

Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...