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20172026
most citedPerformance Guaranteed Network Acceleration via High-Order Residual Quantization

19 citations · 27 across the 8 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

CEI-3D: Collaborative Explicit-Implicit 3D Reconstruction for Realistic and Fine-Grained Object Editing

Yue Shi, Rui Shi, Yuxuan Xiong +2

Existing 3D editing methods often produce unrealistic and unrefined results due to the deeply integrated nature of their reconstruction networks. To address the challenge, this pap…

cs.CV2025

InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction

Yi Zhang, Xiaoyang Huang, Yishun Dou +5

We present InstantSticker, a disentangled reconstruction pipeline based on Image-Based Lighting (IBL), which focuses on highly realistic decal blending, simulates stickers attached…

cs.CV20241 cited

Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering

Jiameng Li, Yue Shi, Jiezhang Cao +4

3D Gaussian Splatting (3DGS) has attracted great attention in novel view synthesis because of its superior rendering efficiency and high fidelity. However, the trained Gaussians su…

cs.CV20231 cited

Boosting Video Object Segmentation via Space-time Correspondence Learning

Yurong Zhang, Liulei Li, Wenguan Wang +3

Current top-leading solutions for video object segmentation (VOS) typically follow a matching-based regime: for each query frame, the segmentation mask is inferred according to its…

cs.CV2023

Freestyle Layout-to-Image Synthesis

Han Xue, Zhiwu Huang, Qianru Sun +2

Typical layout-to-image synthesis (LIS) models generate images for a closed set of semantic classes, e.g., 182 common objects in COCO-Stuff. In this work, we explore the freestyle…

cs.CV20231 cited

Frequency-Modulated Point Cloud Rendering with Easy Editing

Yi Zhang, Xiaoyang Huang, Bingbing Ni +2

We develop an effective point cloud rendering pipeline for novel view synthesis, which enables high fidelity local detail reconstruction, real-time rendering and user-friendly edit…