219 citations · 287 across the 16 of their papers we have counts for
16 papers
GeoMAR: Unleashing Geometrically Aligned Features for Masked Autoregressive Blind Face Restoration
Lu Gan, Hanyu Yan, Chaofeng Chen +2
Codebook-based blind face restoration (BFR) often suffers from ambiguous conditioning features and a fragile prediction mechanism under severe degradation. To address these challen…
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Haoning Wu, Zicheng Zhang, Erli Zhang +8
The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift in computer vision from specialized models to general-purpose foundation models. Neverthel…
Semi-supervised Cycle-GAN for face photo-sketch translation in the wild
Chaofeng Chen, Wei Liu, Xiao Tan +1
The performance of face photo-sketch translation has improved a lot thanks to deep neural networks. GAN based methods trained on paired images can produce high-quality results unde…
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction
Shuliang Ning, Mengcheng Lan, Yanran Li +5
The mainstream of the existing approaches for video prediction builds up their models based on a Single-In-Single-Out (SISO) architecture, which takes the current frame as input to…
S-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
Wenqi Yang, Guanying Chen, Chaofeng Chen +2
In this paper, we address the "dual problem" of multi-view scene reconstruction in which we utilize single-view images captured under different point lights to learn a neural scene…
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Xiaoming Li, Chaofeng Chen, Xianhui Lin +2
How to design proper training pairs is critical for super-resolving real-world low-quality (LQ) images, which suffers from the difficulties in either acquiring paired ground-truth…