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20232025
most citedTBench: Benchmarking Current Progress in Text-to-3D Generation

12 citations · 17 across the 8 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models

Changsong Lei, Mengfei Xia, Shaofeng Wang +4

Tooth arrangement is a crucial step in orthodontics treatment, in which aligning teeth could improve overall well-being, enhance facial aesthetics, and boost self-confidence. To im…

cs.LG2023

SMaRt: Improving GANs with Score Matching Regularity

Mengfei Xia, Yujun Shen, Ceyuan Yang +3

Generative adversarial networks (GANs) usually struggle in learning from highly diverse data, whose underlying manifold is complex. In this work, we revisit the mathematical founda…

cs.CV2023★ 2 cited

Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner

Mengfei Xia, Yujun Shen, Changsong Lei +5

A diffusion model, which is formulated to produce an image using thousands of denoising steps, usually suffers from a slow inference speed. Existing acceleration algorithms simplif…

cs.CV2023★ 12 cited

TBench: Benchmarking Current Progress in Text-to-3D Generation

Yuze He, Yushi Bai, Matthieu Lin +6

Recent methods in text-to-3D leverage powerful pretrained diffusion models to optimize NeRF. Notably, these methods are able to produce high-quality 3D scenes without training on 3…

cs.CV2023

MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending

Yuze He, Peng Wang, Yubin Hu +4

This paper presents a flexible representation of neural radiance fields based on multi-plane images (MPI), for high-quality view synthesis of complex scenes. MPI with Normalized De…