Zobrazeno 1 - 10
of 2 370
pro vyhledávání: '"LIAO, Jing"'
We present DGGS, a novel framework addressing the previously unexplored challenge of Distractor-free Generalizable 3D Gaussian Splatting (3DGS). It accomplishes two key objectives: fortifying generalizable 3DGS against distractor-laden data during bo
Externí odkaz:
http://arxiv.org/abs/2411.17605
Scalable Vector Graphics (SVG) has become the de facto standard for vector graphics in digital design, offering resolution independence and precise control over individual elements. Despite their advantages, creating high-quality SVG content remains
Externí odkaz:
http://arxiv.org/abs/2411.16602
Scene graphs offer a structured, hierarchical representation of images, with nodes and edges symbolizing objects and the relationships among them. It can serve as a natural interface for image editing, dramatically improving precision and flexibility
Externí odkaz:
http://arxiv.org/abs/2410.11815
Generating and inserting new objects into 3D content is a compelling approach for achieving versatile scene recreation. Existing methods, which rely on SDS optimization or single-view inpainting, often struggle to produce high-quality results. To add
Externí odkaz:
http://arxiv.org/abs/2409.16938
We propose the first video diffusion framework for reference-based lineart video colorization. Unlike previous works that rely solely on image generative models to colorize lineart frame by frame, our approach leverages a large-scale pretrained video
Externí odkaz:
http://arxiv.org/abs/2409.12960
Automatic furniture layout is long desired for convenient interior design. Leveraging the remarkable visual reasoning capabilities of multimodal large language models (MLLMs), recent methods address layout generation in a static manner, lacking the f
Externí odkaz:
http://arxiv.org/abs/2407.21333
Autor:
Sun, Qi, Guo, Zhiyang, Wan, Ziyu, Yan, Jing Nathan, Yin, Shengming, Zhou, Wengang, Liao, Jing, Li, Houqiang
In recent years, the increasing demand for dynamic 3D assets in design and gaming applications has given rise to powerful generative pipelines capable of synthesizing high-quality 4D objects. Previous methods generally rely on score distillation samp
Externí odkaz:
http://arxiv.org/abs/2405.18132
Autor:
Ye, Huayuan, Zhang, Shenzhuo, Jiang, Shiqi, Liao, Jing, Gu, Shuhang, Zheng, Dejun, Wang, Changbo, Li, Chenhui
Image steganography can hide information in a host image and obtain a stego image that is perceptually indistinguishable from the original one. This technique has tremendous potential in scenarios like copyright protection, information retrospection,
Externí odkaz:
http://arxiv.org/abs/2405.16414
Vector graphics are widely used in digital art and highly favored by designers due to their scalability and layer-wise properties. However, the process of creating and editing vector graphics requires creativity and design expertise, making it a time
Externí odkaz:
http://arxiv.org/abs/2405.10317
Visual In-Context Learning (ICL) has emerged as a promising research area due to its capability to accomplish various tasks with limited example pairs through analogical reasoning. However, training-based visual ICL has limitations in its ability to
Externí odkaz:
http://arxiv.org/abs/2405.10316