3 citations · 3 across the 10 of their papers we have counts for
13 papers
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation
Yanjun Guo, Zhengqiang Zhang, Pengfei Wang +3
Spatially consistent long-horizon video generation aims to maintain temporal and spatial consistency along predefined camera trajectories. Existing methods mostly entangle memory m…
VOSR: A Vision-Only Generative Model for Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhengqiang Zhang +4
Most of the recent generative image super-resolution (SR) methods rely on adapting large text-to-image (T2I) diffusion models pretrained on web-scale text-image data. While effecti…
GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution
Qiaosi Yi, Shuai Li, Rongyuan Wu +3
Recently, reinforcement learning (RL) has been employed for improving generative image super-resolution (ISR) performance. However, the current efforts are focused on multi-step ge…
MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts
Zheng Zhang, Qinchuan Zhang, Yuteng Ye +5
Generating high-quality textures for 3D assets is a challenging task. Existing multiview texture generation methods suffer from the multiview inconsistency and missing textures on…
BinaryAttention: One-Bit QK-Attention for Vision and Diffusion Transformers
Chaodong Xiao, Zhengqiang Zhang, Lei Zhang
Transformers have achieved widespread and remarkable success, while the computational complexity of their attention modules remains a major bottleneck for vision tasks. Existing me…
DPO-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhengqiang Zhang +5
Benefiting from pre-trained text-to-image (T2I) diffusion models, real-world image super-resolution (Real-ISR) methods can synthesize rich and realistic details. However, due to th…
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation
Zhengqiang Zhang, Rongyuan Wu, Lingchen Sun +1
Effective and efficient tokenization plays an important role in image representation and generation. Conventional methods, constrained by uniform 2D/1D grid tokenization, are infle…
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge
Jie Liang, Radu Timofte, Qiaosi Yi +7
In this paper, we present a comprehensive overview of the NTIRE 2025 challenge on the 2nd Restore Any Image Model (RAIM) in the Wild. This challenge established a new benchmark for…
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
Yujing Sun, Lingchen Sun, Shuaizheng Liu +3
It is a challenging problem to reproduce rich spatial details while maintaining temporal consistency in real-world video super-resolution (Real-VSR), especially when we leverage pr…
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
Du Chen, Liyi Chen, Zhengqiang Zhang +1
Implicit Neural Representations (INR) have been successfully employed for Arbitrary-scale Super-Resolution (ASR). However, INR-based models need to query the multi-layer perceptron…
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
Zhengqiang Zhang, Ruihuang Li, Lei Zhang
While image generation with diffusion models has achieved a great success, generating images of higher resolution than the training size remains a challenging task due to the high…
Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion
Chaodong Xiao, Minghan Li, Zhengqiang Zhang +2
Selective state space models (SSMs), such as Mamba, highly excel at capturing long-range dependencies in 1D sequential data, while their applications to 2D vision tasks still face…
SSL: A Self-similarity Loss for Improving Generative Image Super-resolution
Du Chen, Zhengqiang Zhang, Jie Liang +1
Generative adversarial networks (GAN) and generative diffusion models (DM) have been widely used in real-world image super-resolution (Real-ISR) to enhance the image perceptual qua…