2 citations · 2 across the 5 of their papers we have counts for
6 papers
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models
Laura Bravo-Sánchez, Jaewoo Heo, Zhenzhen Weng +2
Social dynamics in close human interactions pose significant challenges for Human Mesh Estimation (HME), particularly due to the complexity of physical contacts and the scarcity of…
Continuous Perception Matters: Diagnosing Temporal Integration Failures in Multimodal Models
Zeyu Wang, Zhenzhen Weng, Serena Yeung-Levy
Continuous perception, the ability to integrate visual observations over time in a continuous stream fashion, is essential for robust real-world understanding, yet remains largely…
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Zhaorun Chen, Yichao Du, Zichen Wen +16
While text-to-image models like DALLE-3 and Stable Diffusion are rapidly proliferating, they often encounter challenges such as hallucination, bias, and the production of unsafe, l…
Multi-Human Mesh Recovery with Transformers
Zeyu Wang, Zhenzhen Weng, Serena Yeung-Levy
Conventional approaches to human mesh recovery predominantly employ a region-based strategy. This involves initially cropping out a human-centered region as a preprocessing step, w…
Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRM
Zhenzhen Weng, Jingyuan Liu, Hao Tan +4
Reconstructing 3D humans from a single image has been extensively investigated. However, existing approaches often fall short on capturing fine geometry and appearance details, hal…
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains
Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung-Levy
Recent text-to-image generative models have exhibited remarkable abilities in generating high-fidelity and photo-realistic images. However, despite the visually impressive results,…