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Qingxuan Wu

3 accepted papers

2026

Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation

ICLR 2026poster

Generating realistic and diverse human-human interactions from text is a crucial yet challenging task in computer vision, graphics, and robotics. Despite recent advances, existing methods have two key limitations. First, two-person interaction synthesis is highly complex, simultaneously requiring in…

Cited by 0SourcecodeScholar
2025

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image

ICLR 2025poster

Reconstructing 3D hand-face interactions with deformations from a single image is a challenging yet crucial task with broad applications in AR, VR, and gaming. The challenges stem from self-occlusions during single-view hand-face interactions, diverse spatial relationships between hands and face, co…

2023

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

ICCV 2023poster

In this paper, we introduce a set of simple yet effective TOken REduction (TORE) strategies for Transformer-based Human Mesh Recovery from monocular images. Current SOTA performance is achieved by Transformer-based structures. However, they suffer from high model complexity and computation cost caus…

Cited by 51PDFcodeScholar