2 citations · 3 across the 11 of their papers we have counts for
13 papers
Von Neumann Type Inequalities for NC Operator Balls
Ran Kiri
We establish finite-dimensional von Neumann type inequalities for commuting matrix tuples in noncommutative operator balls. Let be the NC operator ball of a linear…
UniSwap: Streaming Audio-Visual Identity Swapping for Talking Videos
Yuxuan Zhang, Haozhong Xiong, Jiayi Song +5
Talking-video character replacement requires coordinated transfer of appearance and voice while preserving the source motion, scene, linguistic content, and audio-video timing. Exi…
LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time
Yuxuan Zhang, Haozhong Xiong, Yubo Huang +6
Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose stream. Real-time generation is essential for interactive applic…
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…
CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
Xinran Wang, Songyu Xu, Xiangxuan Shan +6
Cinematography is a cornerstone of film production and appreciation, shaping mood, emotion, and narrative through visual elements such as camera movement, shot composition, and lig…
EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering
Runnan Lu, Yuxuan Zhang, Jiaming Liu +2
Generating accurate multilingual text with diffusion models has long been desired but remains challenging. Recent methods have made progress in rendering text in a single language,…
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer
Yuxuan Zhang, Yirui Yuan, Yiren Song +2
Recent advancements in Unet-based diffusion models, such as ControlNet and IP-Adapter, have introduced effective spatial and subject control mechanisms. However, the DiT (Diffusion…
PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data
Shijie Huang, Yiren Song, Yuxuan Zhang +4
We introduce PhotoDoodle, a novel image editing framework designed to facilitate photo doodling by enabling artists to overlay decorative elements onto photographs. Photo doodling…
ProcessPainter: Learn Painting Process from Sequence Data
Yiren Song, Shijie Huang, Chen Yao +5
The painting process of artists is inherently stepwise and varies significantly among different painters and styles. Generating detailed, step-by-step painting processes is essenti…
Stable-Hair: Real-World Hair Transfer via Diffusion Model
Yuxuan Zhang, Qing Zhang, Yiren Song +3
Current hair transfer methods struggle to handle diverse and intricate hairstyles, limiting their applicability in real-world scenarios. In this paper, we propose a novel diffusion…
Fast Personalized Text-to-Image Syntheses With Attention Injection
Yuxuan Zhang, Yiren Song, Jinpeng Yu +2
Currently, personalized image generation methods mostly require considerable time to finetune and often overfit the concept resulting in generated images that are similar to custom…
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
Yuxuan Zhang, Yirui Yuan, Yiren Song +1
Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios. In this paper, we introduce Stable-Makeup, a novel diff…
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
Yuxuan Zhang, Yiren Song, Jiaming Liu +8
Recent advancements in subject-driven image generation have led to zero-shot generation, yet precise selection and focus on crucial subject representations remain challenging. Addr…