collaborators

5 papers

cs.CV2026

SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction

Yiran Wang, Zeyu Zhang, Yuanming Li +2

High-quality 4D head avatars from one or a few source portraits are central to telepresence, AR/VR, and digital-human interaction. 3D Gaussian Splatting (3DGS) has emerged as the d…

cs.CV2026

Avatar V: Scaling Video-Reference Avatar Video Generation

Benjamin Liang, Ce Chen, Desmond Lin +20

Generating avatar videos that are not merely visually similar to a target individual but behaviorally recognizable, faithfully reproducing their talking rhythm, gestural tendencies…

cs.CV2026

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding

Boyuan Sun, Bowen Yin, Yuanming Li +2

We present SWIM (See What I Mean), a novel training strategy that aligns vision and language representations to enable fine-grained object understanding solely from textual prompts…

cs.CV2026

TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions

Ce Chen, Yi Ren, Yuanming Li +5

Traditional Shot Boundary Detection (SBD) inherently struggles with complex transitions by formulating the task around isolated cut points, frequently yielding corrupted video shot…

cs.CV2026

Generate Your Talking Avatar from Video Reference

Zujin Guo, Zhenhui Ye, Yi Ren +4

Existing talking avatar methods typically adopt an image-to-video pipeline conditioned on a static reference image within the same scene as the target generation. This restricted,…