3 citations · 6 across the 7 of their papers we have counts for
7 papers
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
Xiaopeng Sun, Qinwei Lin, Yu Gao +6
Generative diffusion models (DM) have been extensively utilized in image super-resolution (ISR). Most of the existing methods adopt the denoising loss from DDPMs for model optimiza…
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
Qinwei Lin, Xiaopeng Sun, Yu Gao +4
Diffusion models have recently achieved outstanding results in the field of image super-resolution. These methods typically inject low-resolution (LR) images via ControlNet.In this…
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results
Ahmed Telili, Wassim Hamidouche, Ibrahim Farhat +12
Omnidirectional (360-degree) video is rapidly gaining popularity due to advancements in immersive technologies like virtual reality (VR) and extended reality (XR). However, real-ti…
MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference
Jiancheng Huang, Yu Gao, Zequn Jie +3
In this paper, we introduce MRStyle, a comprehensive framework that enables color style transfer using multi-modality reference, including image and text. To achieve a unified styl…
Matten: Video Generation with Mamba-Attention
Yu Gao, Jiancheng Huang, Xiaopeng Sun +3
In this paper, we introduce Matten, a cutting-edge latent diffusion model with Mamba-Attention architecture for video generation. With minimal computational cost, Matten employs sp…
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li +109
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…