activity
20242026
most citedOne-Step Effective Diffusion Network for Real-World Image Super-Resolution

7 citations · 11 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Avatar-Forever: Decoupled Parallel Training for High-Quality Real-Time Infinite Avatars

Ruibin Li, Tao Yang, Zhiyuan Ma +3

Existing streaming video systems often rely on sequential, distillation-centered training pipelines to enable few-step long-video generation. However, this paradigm suffers from tw…

cs.CV2026

DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images

Pengfei Wang, Shihao Wang, Liyi Chen +3

While monocular depth estimation has achieved significant progress, achieving generalized metric depth estimation for both narrow field-of-view (FoV) perspectives and p…

cs.CV2026

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…

cs.CV2026

Omni-3DEdit: Generalized Versatile 3D Editing in One-Pass

Chen Liyi, Wang Pengfei, Zhang Guowen +2

Most instruction-driven 3D editing methods rely on 2D models to guide the explicit and iterative optimization of 3D representations. This paradigm, however, suffers from two primar…

cs.CV2026

One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image

Pengfei Wang, Liyi Chen, Zhiyuan Ma +3

Generating explorable 3D scenes from a single image is a highly challenging problem in 3D vision. Existing methods struggle to support free exploration, often producing severe geom…

cs.CV2026

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection

Tianyu Wang, Zhiyuan Ma, Qian Wang +3

Recent advancements in image generation have achieved impressive results in producing high-quality images. However, existing image generation models still generally struggle with a…