Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Fan, Qingnan"'
Blind face restoration (BFR) is a fundamental and challenging problem in computer vision. To faithfully restore high-quality (HQ) photos from poor-quality ones, recent research endeavors predominantly rely on facial image priors from the powerful pre
Externí odkaz:
http://arxiv.org/abs/2410.09864
Although recent years have witnessed significant advancements in image editing thanks to the remarkable progress of text-to-image diffusion models, the problem of non-rigid image editing still presents its complexities and challenges. Existing method
Externí odkaz:
http://arxiv.org/abs/2406.17236
Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature. However, such attempts face the pivotal challenge of misalignment between the intended precise
Externí odkaz:
http://arxiv.org/abs/2404.11895
Autor:
Ge, Yanqi, Liu, Jiaqi, Fan, Qingnan, Jiang, Xi, Huang, Ye, Qin, Shuai, Gu, Hong, Li, Wen, Duan, Lixin
In this work, we target the task of text-driven style transfer in the context of text-to-image (T2I) diffusion models. The main challenge is consistent structure preservation while enabling effective style transfer effects. The past approaches in thi
Externí odkaz:
http://arxiv.org/abs/2404.06835
Autor:
Zhao, Ruoyu, Fan, Qingnan, Kou, Fei, Qin, Shuai, Gu, Hong, Wu, Wei, Xu, Pengcheng, Zhu, Mingrui, Wang, Nannan, Gao, Xinbo
In recent years, instruction-based image editing methods have garnered significant attention in image editing. However, despite encompassing a wide range of editing priors, these methods are helpless when handling editing tasks that are challenging t
Externí odkaz:
http://arxiv.org/abs/2403.18660
We present C$\cdot$ASE, an efficient and effective framework that learns conditional Adversarial Skill Embeddings for physics-based characters. Our physically simulated character can learn a diverse repertoire of skills while providing controllabilit
Externí odkaz:
http://arxiv.org/abs/2309.11351
Object goal navigation (ObjectNav) in unseen environments is a fundamental task for Embodied AI. Agents in existing works learn ObjectNav policies based on 2D maps, scene graphs, or image sequences. Considering this task happens in 3D space, a 3D-awa
Externí odkaz:
http://arxiv.org/abs/2212.00338
It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments. Towards building scalable systems that can perform diverse manipulation tasks over various 3D shapes, recent
Externí odkaz:
http://arxiv.org/abs/2207.01971
We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimation to enable more efficient robot movements. Previous approaches eithe
Externí odkaz:
http://arxiv.org/abs/2203.16319
Part assembly is a typical but challenging task in robotics, where robots assemble a set of individual parts into a complete shape. In this paper, we develop a robotic assembly simulation environment for furniture assembly. We formulate the part asse
Externí odkaz:
http://arxiv.org/abs/2112.10143