2 citations · 9 across the 15 of their papers we have counts for
16 papers
EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling
Ruihan Yu, Yu-Ju Tsai, Muyao Niu +9
3D editing methods are usually tested on a single edit, yet an asset is built through a long sequence of revisions, each of which must implement the requested change while leaving…
WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations
Xiaojie Xu, Zhengyuan Lin, Runyi Li +3
Learning to generate or reconstruct explorable worlds requires video paired with more than RGB: camera motion, scene geometry, temporal correspondence and, for interactive models,…
Bridging Video Understanding and Generation in a Unified Framework
Yuqi Wang, Runyi Li, Ruoyu Feng +3
Recently, unified image generation and understanding have been extensively explored. However, extending such unified modeling paradigms to the video domain remains largely underexp…
Video-Mirai: Autoregressive Video Diffusion Models Need Foresight
Yonghao Yu, Lang Huang, Runyi Li +2
Causal video generators must predict from the past, but they need not learn only from it. In streaming autoregressive video diffusion, each emitted segment becomes a commitment tha…
Mirai: Autoregressive Visual Generation Needs Foresight
Yonghao Yu, Lang Huang, Zerun Wang +2
Autoregressive (AR) visual generators model images as sequences of discrete tokens and are trained with a next-token likelihood objective. This strict causal supervision optimizes…
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter
Runyi Li, Bin Chen, Jian Zhang +1
Blind face restoration from low-quality images is a challenging task that requires not only high-fidelity image reconstruction, but also preservation of facial identity. Although d…
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
Runyi Li, Bin Chen, Jian Zhang +1
Real-world image super-resolution is a critical image processing task, where two key evaluation criteria are the fidelity to the original image and the visual realness of the gener…
GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model
Runyi Li, Xuanyu Zhang, Chuhan Tong +2
With the advancement of AIGC technologies, the modalities generated by models have expanded from images and videos to 3D objects, leading to an increasing number of works focused o…
RealOSR: Latent Guidance Boosts Diffusion-based Real-world Omnidirectional Image Super-Resolutions
Xuhan Sheng, Runyi Li, Bin Chen +3
Omnidirectional image super-resolution (ODISR) aims to upscale low-resolution (LR) omnidirectional images (ODIs) to high-resolution (HR), catering to the growing demand for detaile…
OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
Xuanyu Zhang, Zecheng Tang, Zhipei Xu +5
With the rapid growth of generative AI and its widespread application in image editing, new risks have emerged regarding the authenticity and integrity of digital content. Existing…
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Zhipei Xu, Xuanyu Zhang, Runyi Li +3
The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect. A…
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation
Runyi Li, Xuanyu Zhang, Zhipei Xu +2
With the advent of personalized generation models, users can more readily create images resembling existing content, heightening the risk of violating portrait rights and intellect…
GS-Hider: Hiding Messages into 3D Gaussian Splatting
Xuanyu Zhang, Jiarui Meng, Runyi Li +3
3D Gaussian Splatting (3DGS) has already become the emerging research focus in the fields of 3D scene reconstruction and novel view synthesis. Given that training a 3DGS requires a…
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Runyi Li, Xuhan Sheng, Weiqi Li +1
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-resolution ODIs help improve the performance of related visual tasks. Most existing super-resol…
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
Xuanyu Zhang, Youmin Xu, Runyi Li +4
AI-generated video has revolutionized short video production, filmmaking, and personalized media, making video local editing an essential tool. However, this progress also blurs th…
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
Xuanyu Zhang, Runyi Li, Jiwen Yu +3
In the era where AI-generated content (AIGC) models can produce stunning and lifelike images, the lingering shadow of unauthorized reproductions and malicious tampering poses immin…