activity
20222026
most citedISS: Image as Stepping Stone for Text-Guided 3D Shape Generation

4 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

ArtiMo: Agent-Driven Articulated Mesh Animation

Chunyu Zou, Peng Dai, Yi-Hua Huang +4

Animating articulated 3D meshes via text requires satisfying strict kinematic constraints, modeling causal interactions between parts, and achieving instruction fidelity. Due to th…

cs.RO2026

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond

Haiming Zhang, Junfei Zhou, Feng Jiang +6

Generating high-fidelity and controllable synthetic data is critical for advancing end-to-end autonomous driving, particularly for addressing the long tail of rare safety-critical…

cs.CV2026

ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models

Yuhuan Xie, Aoxuan Pan, Yi-Hua Huang +4

Achieving precise, object-level control in image editing remains challenging: 2D methods lack 3D awareness and often yield ambiguous or implausible results, while existing 3D-aware…

cs.CV2025

S^2VG: 3D Stereoscopic and Spatial Video Generation via Denoising Frame Matrix

Peng Dai, Feitong Tan, Qiangeng Xu +6

While video generation models excel at producing high-quality monocular videos, generating 3D stereoscopic and spatial videos for immersive applications remains an underexplored ch…

cs.CV2024

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Peng Dai, Feitong Tan, Qiangeng Xu +5

Video generation models have demonstrated great capabilities of producing impressive monocular videos, however, the generation of 3D stereoscopic video remains under-explored. We p…

cs.CV2024

Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction

Xiaoyang Lyu, Chirui Chang, Peng Dai +2

Scene reconstruction from multi-view images is a fundamental problem in computer vision and graphics. Recent neural implicit surface reconstruction methods have achieved high-quali…

cs.CV2024★ 1 cited

GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation

Peng Dai, Feitong Tan, Xin Yu +3

Virtual environments (VEs) are pivotal for virtual, augmented, and mixed reality systems. Despite advances in 3D generation and reconstruction, the direct creation of 3D objects wi…

cs.LG2023

Random resistive memory-based deep extreme point learning machine for unified visual processing

Shaocong Wang, Yizhao Gao, Yi Li +21

Visual sensors, including 3D LiDAR, neuromorphic DVS sensors, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. Realizing intensive m…

cs.CV2022★ 4 cited

ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation

Zhengzhe Liu, Peng Dai, Ruihui Li +2

Text-guided 3D shape generation remains challenging due to the absence of large paired text-shape data, the substantial semantic gap between these two modalities, and the structura…