activity
20232026
most citedHuman101: Training 100+FPS Human Gaussians in 100s from 1 View

3 citations · 3 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation

Jiacheng Tao, Qingyun Sun, Haonan Yuan +2

While Multimodal Retrieval-Augmented Generation (MM-RAG) has shown promising results, it still struggles with complex multi-hop reasoning tasks. Existing methods primarily focus on…

cs.LG2026

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation

Haonan Yuan, Qingyun Sun, Jiacheng Tao +2

Graph Foundation Models (GFMs) have emerged as a frontier in graph learning, which are expected to deliver transferable representations across diverse tasks. However, GFMs remain c…

cs.CV2025

Consistent Instance Field for Dynamic Scene Understanding

Junyi Wu, Van Nguyen Nguyen, Benjamin Planche +11

We introduce Consistent Instance Field, a continuous and probabilistic spatio-temporal representation for dynamic scene understanding. Unlike prior methods that rely on discrete tr…

cs.CV2025

TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing

Jiachen Tao, Junyi Wu, Haoxuan Wang +3

We present TraceFlow, a novel framework for high-fidelity rendering of dynamic specular scenes by addressing two key challenges: precise reflection direction estimation and physica…

cs.RO2025

GLaD: Geometric Latent Distillation for Vision-Language-Action Models

Minghao Guo, Meng Cao, Jiachen Tao +5

Most existing Vision-Language-Action (VLA) models rely primarily on RGB information, while ignoring geometric cues crucial for spatial reasoning and manipulation. In this work, we…

cs.CV2025

From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields

Jiachen Tao, Benjamin Planche, Van Nguyen Nguyen +13

Accurately modeling light transport is essential for realistic image synthesis. Photon mapping provides physically grounded estimates of complex global illumination effects such as…

cs.CV2025

Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance

Haoxuan Wang, Jiachen Tao, Junyi Wu +3

We present Motion Marionette, a zero-shot framework for rigid motion transfer from monocular source videos to single-view target images. Previous works typically employ geometric,…

cs.CV2025

Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos

Junyi Wu, Jiachen Tao, Haoxuan Wang +3

We present Orientation-anchored Gaussian Splatting (OriGS), a novel framework for high-quality 4D reconstruction from casually captured monocular videos. While recent advances exte…

eess.IV2025

ZECO: ZeroFusion Guided 3D MRI Conditional Generation

Feiran Wang, Bin Duan, Jiachen Tao +3

Medical image segmentation is crucial for enhancing diagnostic accuracy and treatment planning in Magnetic Resonance Imaging (MRI). However, acquiring precise lesion masks for segm…

cs.CV2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

Feiran Wang, Jiachen Tao, Junyi Wu +5

X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to potential health risks. To mitigate radiation exposure, recent research focuses on ge…

cs.CV2023★ 3 cited

Human101: Training 100+FPS Human Gaussians in 100s from 1 View

Mingwei Li, Jiachen Tao, Zongxin Yang +1

Reconstructing the human body from single-view videos plays a pivotal role in the virtual reality domain. One prevalent application scenario necessitates the rapid reconstruction o…