activity
20202026
most citedDisp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

15 citations · 32 across the 17 of their papers we have counts for

collaborators

19 papers

cs.LG2026

Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation

Haocheng Xi, Yiming Xie, Hexu Zhao +8

Video diffusion models repeatedly process long spatiotemporal token sequences during denoising, making attention a major computational bottleneck. Linear attention offers an appeal…

cs.CV2026

Surface Keypoint Representation for Multi-Object and Articulated Human-Object Interaction Generation

Xiaogang Peng, Zeyu Han, Zichong Meng +4

Daily activities require humans to coordinate whole-body motion with the motion of surrounding objects. Despite recent progress in human-object interaction (HOI) generation, most e…

cs.CV2026

Streaming Video Generation with Streaming Force Control

Hanhui Wang, Yiming Xie, Haiwen Feng +3

We introduce StreamForce, a streaming video generation framework that enables physically grounded control through continuous force inputs. Unlike prior video models that train sepa…

cs.CV2025

LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction

Tianye Ding, Yiming Xie, Yiqing Liang +3

Recent feed-forward reconstruction models like VGGT and achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memory complexity, limi…

cs.CV2025

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie +4

Unlocking spatial reasoning in Multimodal Large Language Models (MLLMs) is crucial for enabling intelligent interaction with 3D environments. While prior efforts often rely on expl…

cs.CV2025

Absolute Coordinates Make Motion Generation Easy

Zichong Meng, Zeyu Han, Xiaogang Peng +2

State-of-the-art text-to-motion generation models rely on the kinematic-aware, local-relative motion representation popularized by HumanML3D, which encodes motion relative to the p…

cs.GR2025

Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation

Lei Zhong, Chuan Guo, Yiming Xie +2

Storyboarding is widely used for creating 3D animations. Animators use the 2D sketches in storyboards as references to craft the desired 3D animations through a trial-and-error pro…

cs.CV2025

SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation

Chun-Han Yao, Yiming Xie, Vikram Voleti +2

We present Stable Video 4D 2.0 (SV4D 2.0), a multi-view video diffusion model for dynamic 3D asset generation. Compared to its predecessor SV4D, SV4D 2.0 is more robust to occlusio…

cs.CV2024

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Zichong Meng, Yiming Xie, Xiaogang Peng +2

Since 2023, Vector Quantization (VQ)-based discrete generation methods have rapidly dominated human motion generation, primarily surpassing diffusion-based continuous generation me…

cs.CV2024

SMooDi: Stylized Motion Diffusion Model

Lei Zhong, Yiming Xie, Varun Jampani +2

We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that ei…

cs.CV2024★ 2 cited

SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Yiming Xie, Chun-Han Yao, Vikram Voleti +2

We present Stable Video 4D (SV4D), a latent video diffusion model for multi-frame and multi-view consistent dynamic 3D content generation. Unlike previous methods that rely on sepa…

cs.CV2023★ 2 cited

HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models

Xiaogang Peng, Yiming Xie, Zizhao Wu +3

We address the problem of generating realistic 3D human-object interactions (HOIs) driven by textual prompts. To this end, we take a modular design and decompose the complex task i…

cs.CV2023

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection

Yiming Xie, Huaizu Jiang, Georgia Gkioxari +1

We present PARQ - a multi-view 3D object detector with transformer and pixel-aligned recurrent queries. Unlike previous works that use learnable features or only encode 3D point po…

cs.CV2023★ 5 cited

OmniControl: Control Any Joint at Any Time for Human Motion Generation

Yiming Xie, Varun Jampani, Lei Zhong +2

We present a novel approach named OmniControl for incorporating flexible spatial control signals into a text-conditioned human motion generation model based on the diffusion proces…

cs.CV2023★ 3 cited

Diagnosing Human-object Interaction Detectors

Fangrui Zhu, Yiming Xie, Weidi Xie +1

We have witnessed significant progress in human-object interaction (HOI) detection. The reliance on mAP (mean Average Precision) scores as a summary metric, however, does not provi…

cs.CV2023

A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching

Aniket Gupta, Yiming Xie, Hanumant Singh +1

Deep neural networks endow the downsampled superpoints with highly discriminative feature representations. Previous dominant point cloud registration approaches match these feature…

cs.CV2022★ 1 cited

PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos

Yiming Xie, Matheus Gadelha, Fengting Yang +2

We present PlanarRecon -- a novel framework for globally coherent detection and reconstruction of 3D planes from a posed monocular video. Unlike previous works that detect planes i…

cs.CV2021★ 4 cited

NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video

Jiaming Sun, Yiming Xie, Linghao Chen +2

We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video. Unlike previous methods that estimate single-view depth maps separately…

cs.CV2020★ 15 cited

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

Jiaming Sun, Linghao Chen, Yiming Xie +4

In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering a point cloud with di…