4 citations · 9 across the 17 of their papers we have counts for
19 papers
Infinite Worlds with Versatile Interactions
Zelin Gao, Qiuyu Wang, Jiapeng Zhu +17
We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded in…
WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory
Hanlin Wang, Hao Ouyang, Qiuyu Wang +10
We present WorldDirector, a highly controllable video world model framework designed for persistent dynamic object memory and unrestricted viewpoint exploration. Unlike existing wo…
MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence
Yifan Chen, Fei Yin, Qingyan Bai +2
We introduce MMCL-Bench, a benchmark for multimodal context learning: learning task-local rules, procedures, and empirical patterns from visual or mixed-modality teaching context a…
Advancing Open-source World Models
Robbyant Team, Zelin Gao, Qiuyu Wang +21
We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It…
The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text
Hanlin Wang, Hao Ouyang, Qiuyu Wang +12
We present WorldCanvas, a framework for promptable world events that enables rich, user-directed simulation by combining text, trajectories, and reference images. Unlike text-only…
MagicQuillV2: Precise and Interactive Image Editing with Layered Visual Cues
Zichen Liu, Yue Yu, Hao Ouyang +11
We propose MagicQuill V2, a novel system that introduces a \textbf{layered composition} paradigm to generative image editing, bridging the gap between the semantic power of diffusi…
Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
Qingyan Bai, Qiuyu Wang, Hao Ouyang +10
Instruction-based video editing promises to democratize content creation, yet its progress is severely hampered by the scarcity of large-scale, high-quality training data. We intro…
Calligrapher: Freestyle Text Image Customization
Yue Ma, Qingyan Bai, Hao Ouyang +8
We introduce Calligrapher, a novel diffusion-based framework that innovatively integrates advanced text customization with artistic typography for digital calligraphy and design ap…
Edicho: Consistent Image Editing in the Wild
Qingyan Bai, Hao Ouyang, Yinghao Xu +5
As a verified need, consistent editing across in-the-wild images remains a technical challenge arising from various unmanageable factors, like object poses, lighting conditions, an…
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer
Yu Li, Yifan Chen, Gongye Liu +6
Layout generation is a foundation task of graphic design, which requires the integration of visual aesthetics and harmonious expression of content delivery. However, existing metho…
Real-time 3D-aware Portrait Editing from a Single Image
Qingyan Bai, Zifan Shi, Yinghao Xu +7
This work presents 3DPE, a practical method that can efficiently edit a face image following given prompts, like reference images or text descriptions, in a 3D-aware manner. To thi…
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
Hao Ouyang, Qiuyu Wang, Yuxi Xiao +6
We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire vide…
Revisiting the Evaluation of Image Synthesis with GANs
Mengping Yang, Ceyuan Yang, Yichi Zhang +3
A good metric, which promises a reliable comparison between solutions, is essential for any well-defined task. Unlike most vision tasks that have per-sample ground-truth, image syn…
GLeaD: Improving GANs with A Generator-Leading Task
Qingyan Bai, Ceyuan Yang, Yinghao Xu +3
Generative adversarial network (GAN) is formulated as a two-player game between a generator (G) and a discriminator (D), where D is asked to differentiate whether an image comes fr…
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
Fei Yin, Yong Zhang, Xiaodong Cun +7
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging qua…
High-fidelity GAN Inversion with Padding Space
Qingyan Bai, Yinghao Xu, Jiapeng Zhu +3
Inverting a Generative Adversarial Network (GAN) facilitates a wide range of image editing tasks using pre-trained generators. Existing methods typically employ the latent space of…
Identity-guided Face Generation with Multi-modal Contour Conditions
Qingyan Bai, Weihao Xia, Fei Yin +1
Recent face generation methods have tried to synthesize faces based on the given contour condition, like a low-resolution image or sketch. However, the problem of identity ambiguit…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
Region-Adaptive Deformable Network for Image Quality Assessment
Shuwei Shi, Qingyan Bai, Mingdeng Cao +4
Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In…