4 citations · 4 across the 9 of their papers we have counts for
11 papers
ULIFLOW: Unified Latent Human-Object Interaction Flow
Wenqi Cai, Chunzhi Gu, Weichen Zhou +5
Text-conditioned 3D human--object interaction (HOI) generation remains challenging because individually plausible human and object motions do not necessarily form a coherent intera…
World2Motion: Turning Video World Models into 3D Human Motion Generators
Fangyuan Tu, Tu Fangyuan, Xiangyue Zhang +9
We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While existing 3D motion generators l…
Seeing is not Enough: Vision-Language Models Perceive Evidence but Fail to Act
Yuyang Dai, Bofei Huang, Hongbo Zhang +1
Vision-language models (VLMs) perform strongly on visual question answering benchmarks, yet often make decisions that contradict visual evidence they have already identified correc…
SkelGen4D: Weakly-Supervised Skeleton-Based 4D Generation for Text-Driven Mesh Animation
Hao Feng, Zhi Zuo, Jia-Hui Pan +6
We study 4D generation to synthesize temporally coherent sequences of 3D geometry for animation and content creation. In contrast to existing SDS-based optimization methods and vid…
Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook
Yuan Ma, Junlin Hou, Chao Zhang +4
Learning from noisy labels remains a major challenge in medical image analysis, where annotation demands expert knowledge and substantial inter-observer variability often leads to…
Sketch-based Fluid Video Generation Using Motion-Guided Diffusion Models in Still Landscape Images
Hao Jin, Haoran Xie
Integrating motion into static images not only enhances visual expressiveness but also creates a sense of immersion and temporal depth, establishing it as a longstanding and impact…
Two-Stage Sketch-Based Smoke Illustration Generation using Stream Function
Hengyuan Chang, Xiaoxuan Xie, Syuhei Sato +1
In this paper, we propose a two-stage sketch-based smoke illustration generation framework using stream function and latent diffusion models (LDM). The user sketch is used to guide…
StructInbet: Integrating Explicit Structural Guidance into Inbetween Frame Generation
Zhenglin Pan, Haoran Xie
In this paper, we propose StructInbet, an inbetweening system designed to generate controllable transitions over explicit structural guidance. StructInbet introduces two key contri…
Physics-Aware Fluid Field Generation from User Sketches Using Helmholtz-Hodge Decomposition
Ryuichi Miyauchi, Hengyuan Chang, Tsukasa Fukusato +2
Fluid simulation techniques are widely used in various fields such as film production, but controlling complex fluid behaviors remains challenging. While recent generative models e…
Interactive Drawing Guidance for Anime Illustrations with Diffusion Model
Chuang Chen, Xiaoxuan Xie, Yongming Zhang +2
Creating high-quality anime illustrations presents notable challenges, particularly for beginners, due to the intricate styles and fine details inherent in anime art. We present an…
MicroGlam: Microscopic Skin Image Dataset with Cosmetics
Toby Chong, Alina Chadwick, I-chao Shen +2
In this paper, we present a cosmetic-specific skin image dataset. It consists of skin images from patches ( skin patches each from participants) of size unde…