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20232026
most citedWorld-Grounded Human Motion Recovery via Gravity-View Coordinates

33 citations · 77 across the 23 of their papers we have counts for

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Showing 2025Show all

13 papers · 1 filter

cs.CV2025

StreamingTalker: Audio-driven 3D Facial Animation with Autoregressive Diffusion Model

Yifan Yang, Zhi Cen, Sida Peng +6

This paper focuses on the task of speech-driven 3D facial animation, which aims to generate realistic and synchronized facial motions driven by speech inputs. Recent methods have e…

cs.CV2025

UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction

Jin Cao, Hongrui Wu, Ziyong Feng +3

This paper tackles the challenge of robust reconstruction, i.e., the task of reconstructing a 3D scene from a set of inconsistent multi-view images. Some recent works have attempte…

cs.CV2025

Precise Action-to-Video Generation Through Visual Action Prompts

Yuang Wang, Chao Wen, Haoyu Guo +5

We present visual action prompts, a unified action representation for action-to-video generation of complex high-DoF interactions while maintaining transferable visual dynamics acr…

cs.CV2025

SpatialTrackerV2: 3D Point Tracking Made Easy

Yuxi Xiao, Jianyuan Wang, Nan Xue +7

We present SpatialTrackerV2, a feed-forward 3D point tracking method for monocular videos. Going beyond modular pipelines built on off-the-shelf components for 3D tracking, our app…

cs.CV2025

Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models

Yudong Jin, Sida Peng, Xuan Wang +6

This paper addresses the challenge of high-fidelity view synthesis of humans with sparse-view videos as input. Previous methods solve the issue of insufficient observation by lever…

cs.CV2025★ 1 cited

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, Hongyu Zhou, Sida Peng +13

Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR…

cs.CV2025

FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction

Yifan Wang, Peishan Yang, Zhen Xu +6

This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…

cs.GR2025★ 1 cited

HumanRAM: Feed-forward Human Reconstruction and Animation Model using Transformers

Zhiyuan Yu, Zhe Li, Hujun Bao +2

3D human reconstruction and animation are long-standing topics in computer graphics and vision. However, existing methods typically rely on sophisticated dense-view capture and/or…

cs.CV2025

Multi-view Reconstruction via SfM-guided Monocular Depth Estimation

Haoyu Guo, He Zhu, Sida Peng +6

In this paper, we present a new method for multi-view geometric reconstruction. In recent years, large vision models have rapidly developed, performing excellently across various t…

cs.CV2025

LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene

Xiaoyu Zhang, Weihong Pan, Chong Bao +4

Humans perceive and comprehend their surroundings through information spanning multiple frequencies. In immersive scenes, people naturally scan their environment to grasp its overa…

cs.CV2025

Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation

Zhi Cen, Huaijin Pi, Sida Peng +5

This paper addresses the task of generating two-character online interactions. Previously, two main settings existed for two-character interaction generation: (1) generating one's…

cs.CV2025

EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds

Lu Chen, Yizhou Wang, Shixiang Tang +6

Learning an agent model that behaves like humans-capable of jointly perceiving the environment, predicting the future, and taking actions from a first-person perspective-is a funda…

cs.CV2025★ 2 cited

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Xingyi He, Hao Yu, Sida Peng +4

Image matching, which aims to identify corresponding pixel locations between images, is crucial in a wide range of scientific disciplines, aiding in image registration, fusion, and…