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Kazunori Miyata

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.GR2
  • cs.CV1
  • quant-ph1
ORCID 0000-0002-1582-0058
same name
  • Kazunori Miyata — 3 papers, h 2
  • Kazunori Miyata — 2 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedExperimental realization of a dynamic squeezing gate

48 citations · 62 across the 4 of their papers we have counts for

collaborators

4 papers

cs.GR2023

Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields

Yi He, Haoran Xie, Kazunori Miyata

3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, the conventional reconstruction approaches with template me…

cs.CV2023★ 11 cited

DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model

Yichen Peng, Chunqi Zhao, Haoran Xie +2

Synthesizing face images from monochrome sketches is one of the most fundamental tasks in the field of image-to-image translation. However, it is still challenging to (1)~make mode…

cs.GR2022★ 3 cited

DualSmoke: Sketch-Based Smoke Illustration Design with Two-Stage Generative Model

Haoran Xie, Keisuke Arihara, Syuhei Sato +1

The dynamic effects of smoke are impressive in illustration design, but it is a troublesome and challenging issue for common users to design the smoke effect without domain knowled…

quant-ph2014★ 48 cited

Experimental realization of a dynamic squeezing gate

Kazunori Miyata, Hisashi Ogawa, Petr Marek +4

Squeezing is a nonlinear Gaussian operation that is the key component in construction of other nonlinear Gaussian gates. In our implementation of the squeezing gate, the amount and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.