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20172023
most citedCANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

45 citations · 83 across the 9 of their papers we have counts for

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13 papers · 1 filter

cs.CV2023

Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior

Ruibo Li, Chi Zhang, Zhe Wang +2

In this article, we investigate self-supervised 3D scene flow estimation and class-agnostic motion prediction on point clouds. A realistic scene can be well modeled as a collection…

cs.CV2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

Chi Zhang, Wei Yin, Gang Yu +5

In this study, we address the challenge of 3D scene structure recovery from monocular depth estimation. While traditional depth estimation methods leverage labeled datasets to dire…

cs.CV2023

DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects

Qingyao Shuai, Chi Zhang, Kaizhi Yang +1

Unsupervised methods for reconstructing structures face significant challenges in capturing the geometric details with consistent structures among diverse shapes of the same catego…

cs.CV2023

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

Yiwen Chen, Chi Zhang, Xiaofeng Yang +4

Recent strides in Text-to-3D techniques have been propelled by distilling knowledge from powerful large text-to-image diffusion models (LDMs). Nonetheless, existing Text-to-3D appr…

cs.CV2023

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

Yanda Li, Chi Zhang, Gang Yu +6

The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 have sparked significant interest in the development of multimodal Large Language Models (LLMs). A primary res…

cs.CV20234 cited

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image

Wei Yin, Chi Zhang, Hao Chen +5

Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-posedness of the single-image reconstruction problem, most well-established methods are…