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20232026
most citedInFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

4 citations · 7 across the 25 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes

Bin Tan, Rui Yu, Yujun Shen +1

This paper presents PlanarSplatting, an ultra-fast and accurate surface reconstruction approach for multiview indoor images. We take the 3D planes as the main objective due to thei…

cs.CV2024

Rectified Diffusion Guidance for Conditional Generation

Mengfei Xia, Nan Xue, Yujun Shen +3

Classifier-Free Guidance (CFG), which combines the conditional and unconditional score functions with two coefficients summing to one, serves as a practical technique for diffusion…

cs.CV2024

Stratified Avatar Generation from Sparse Observations

Han Feng, Wenchao Ma, Quankai Gao +3

Estimating 3D full-body avatars from AR/VR devices is essential for creating immersive experiences in AR/VR applications. This task is challenging due to the limited input from Hea…

cs.CV2024

A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction

Jianghao Shen, Nan Xue, Tianfu Wu

Learning 3D scene representation from a single-view image is a long-standing fundamental problem in computer vision, with the inherent ambiguity in predicting contents unseen from…

cs.CV2024

Multi-View Attentive Contextualization for Multi-View 3D Object Detection

Xianpeng Liu, Ce Zheng, Ming Qian +5

We present Multi-View Attentive Contextualization (MvACon), a simple yet effective method for improving 2D-to-3D feature lifting in query-based multi-view 3D (MV3D) object detectio…

cs.CV2024★ 4 cited

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Zhiheng Liu, Hao Ouyang, Qiuyu Wang +7

3D Gaussians have recently emerged as an efficient representation for novel view synthesis. This work studies its editability with a particular focus on the inpainting task, which…

cs.CV2024

SpatialTracker: Tracking Any 2D Pixels in 3D Space

Yuxi Xiao, Qianqian Wang, Shangzhan Zhang +4

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of the difficulty arises from the 3D-to-2D projection process, leading to occlusions and disco…

cs.CV2024★ 2 cited

MaPa: Text-driven Photorealistic Material Painting for 3D Shapes

Shangzhan Zhang, Shangzan Zhang, Sida Peng +8

This paper aims to generate materials for 3D meshes from text descriptions. Unlike existing methods that synthesize texture maps, we propose to generate segment-wise procedural mat…