9 citations · 13 across the 14 of their papers we have counts for
17 papers · 1 filter
FlowDance: Music-Driven Dance Video Generation with Parallel Pose and RGB Streams
Genying Li, Boda Lin, Jiachen Li +5
Music-driven dance video synthesis aims to animate a reference person according to a given music clip. The task is challenging because it requires a model to jointly learn music-to…
A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilation
Peixuan Zhang, Chang Zhou, Ziyuan Zhang +8
The surging demand for adapting long-form cinematic content into short videos has motivated the need for versatile automatic video compilation systems. However, existing compilatio…
ReContraster: Making Your Posters Stand Out with Regional Contrast
Peixuan Zhang, Zijian Jia, Ziqi Cai +3
Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first trai…
Lighting-grounded Video Generation with Renderer-based Agent Reasoning
Ziqi Cai, Taoyu Yang, Zheng Chang +4
Diffusion models have achieved remarkable progress in video generation, but their controllability remains a major limitation. Key scene factors such as layout, lighting, and camera…
PolGS++: Physically-Guided Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
Yufei Han, Chu Zhou, Youwei Lyu +6
Accurate reconstruction of reflective surfaces remains a fundamental challenge in computer vision, with broad applications in real-time virtual reality and digital content creation…
Towards Deeper Emotional Reflection: Crafting Affective Image Filters with Generative Priors
Peixuan Zhang, Shuchen Weng, Jiajun Tang +2
Social media platforms enable users to express emotions by posting text with accompanying images. In this paper, we propose the Affective Image Filter (AIF) task, which aims to ref…
STAGE: Storyboard-Anchored Generation for Cinematic Multi-shot Narrative
Peixuan Zhang, Zijian Jia, Kaiqi Liu +3
While recent advancements in generative models have achieved remarkable visual fidelity in video synthesis, creating coherent multi-shot narratives remains a significant challenge.…
Personalized Image Filter: Mastering Your Photographic Style
Chengxuan Zhu, Shuchen Weng, Jiacong Fang +4
Photographic style, as a composition of certain photographic concepts, is the charm behind renowned photographers. But learning and transferring photographic style need a profound…
PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
Yufei Han, Bowen Tie, Heng Guo +5
Efficient shape reconstruction for surfaces with complex reflectance properties is crucial for real-time virtual reality. While 3D Gaussian Splatting (3DGS)-based methods offer fas…
PolarAnything: Diffusion-based Polarimetric Image Synthesis
Kailong Zhang, Youwei Lyu, Heng Guo +3
Polarization images facilitate image enhancement and 3D reconstruction tasks, but the limited accessibility of polarization cameras hinders their broader application. This gap driv…
Audio-Sync Video Generation with Multi-Stream Temporal Control
Shuchen Weng, Haojie Zheng, Zheng Chang +3
Audio is inherently temporal and closely synchronized with the visual world, making it a naturally aligned and expressive control signal for controllable video generation (e.g., mo…
Affective Image Editing: Shaping Emotional Factors via Text Descriptions
Peixuan Zhang, Shuchen Weng, Chengxuan Zhu +4
In daily life, images as common affective stimuli have widespread applications. Despite significant progress in text-driven image editing, there is limited work focusing on underst…
L-C4: Language-Based Video Colorization for Creative and Consistent Color
Zheng Chang, Shuchen Weng, Huan Ouyang +3
Automatic video colorization is inherently an ill-posed problem because each monochrome frame has multiple optional color candidates. Previous exemplar-based video colorization met…
VIRES: Video Instance Repainting via Sketch and Text Guided Generation
Shuchen Weng, Haojie Zheng, Peixuan Zhang +4
We introduce VIRES, a video instance repainting method with sketch and text guidance, enabling video instance repainting, replacement, generation, and removal. Existing approaches…
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
Zheng Chang, Shuchen Weng, Peixuan Zhang +3
Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume th…
DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
Yongjie Zhu, Jiajun Tang, Si Li +1
We propose DeRenderNet, a deep neural network to decompose the albedo and latent lighting, and render shape-(in)dependent shadings, given a single image of an outdoor urban scene,…
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
Yongjie Zhu, Yinda Zhang, Si Li +1
We present SOLID-Net, a neural network for spatially-varying outdoor lighting estimation from a single outdoor image for any 2D pixel location. Previous work has used a unified sky…