activity
20232026
most citedINV: Towards Streaming Incremental Neural Videos

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Grounded-Exo2Ego: Structured Semantic Grounding for Robust Exocentric-to-Egocentric Video Generation

Shengze Wang, Michael Stengel, Tianye Li +5

Generating egocentric video from a single exocentric video is an emerging and important topic for AR/VR and physical AI. Compared with conventional novel view synthesis, exo-to-ego…

cs.CV2026

DyaPlex: Full-Duplex Speech-Motion Model for Dyadic Interaction

Koki Nagano, Hongyu Liu, Seonwook Park +9

We present DyaPlex, a streaming, full-duplex speech-and-motion model designed for dyadic interaction. To capture the continuous and reciprocal nature of human communication, this f…

cs.CV2026

VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents

Amrita Mazumdar, Seonwook Park, Rajarshi Roy +6

Natural human conversation is full-duplex and audio-visual: people simultaneously speak and listen while continuously interpreting and producing nonverbal cues, such as nods, smile…

cs.CV2024

Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion

Shengze Wang, Xueting Li, Chao Liu +5

Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, democratizing tele…

cs.CV2024

BLADE: Single-view Body Mesh Learning through Accurate Depth Estimation

Shengze Wang, Jiefeng Li, Tianye Li +5

Single-image human mesh recovery is a challenging task due to the ill-posed nature of simultaneous body shape, pose, and camera estimation. Existing estimators work well on images…

cs.CV2024

Coherent 3D Portrait Video Reconstruction via Triplane Fusion

Shengze Wang, Xueting Li, Chao Liu +6

Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, potentially democr…

cs.CV2023★ 1 cited

My3DGen: A Scalable Personalized 3D Generative Model

Luchao Qi, Jiaye Wu, Annie N. Wang +2

In recent years, generative 3D face models (e.g., EG3D) have been developed to tackle the problem of synthesizing photo-realistic faces. However, these models are often unable to c…

cs.CV2023

Bringing Telepresence to Every Desk

Shengze Wang, Ziheng Wang, Ryan Schmelzle +4

In this paper, we work to bring telepresence to every desktop. Unlike commercial systems, personal 3D video conferencing systems must render high-quality videos while remaining fin…

cs.CV2023★ 1 cited

INV: Towards Streaming Incremental Neural Videos

Shengze Wang, Alexey Supikov, Joshua Ratcliff +2

Recent works in spatiotemporal radiance fields can produce photorealistic free-viewpoint videos. However, they are inherently unsuitable for interactive streaming scenarios (e.g. v…