Search Results for author: I-Chao Shen

Found 8 papers, 1 papers with code

FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications

no code implementations11 Mar 2024 Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, Ariel Shamir

To solve this problem, we present FontCLIP: a model that connects the semantic understanding of a large vision-language model with typographical knowledge.

Attribute Descriptive +2

NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors

no code implementations10 Jun 2022 Hao-Kang Liu, I-Chao Shen, Bing-Yu Chen

In this paper, we introduce the first framework that enables users to remove unwanted objects or retouch undesired regions in a 3D scene represented by a pre-trained NeRF without any category-specific data and training.

Novel View Synthesis

AutoPoly: Predicting a Polygonal Mesh Construction Sequence from a Silhouette Image

no code implementations29 Mar 2022 I-Chao Shen, Yu Ju Chen, Oliver van Kaick, Takeo Igarashi

The key idea of our method is the use of the Monte Carlo tree search (MCTS) algorithm and differentiable rendering to separately predict sequential topological actions and geometric actions.

StylePart: Image-based Shape Part Manipulation

no code implementations20 Nov 2021 I-Chao Shen, Li-Wen Su, Yu-Ting Wu, Bing-Yu Chen

The attribute codes of the manipulated 3D shape are then "backwardly mapped" to the image latent code to obtain the final manipulated image.

Attribute

Per Garment Capture and Synthesis for Real-time Virtual Try-on

no code implementations10 Sep 2021 Toby Chong, I-Chao Shen, Nobuyuki Umetani, Takeo Igarashi

Furthermore, we proposed to use a custom-designed measurement garment, and we captured paired images of the measurement garment and the target garments.

Image-to-Image Translation Virtual Try-on

Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance

no code implementations24 Jun 2019 Toby Chong Long Hin, I-Chao Shen, Issei Sato, Takeo Igarashi

We present a human-in-the-optimization method that allows users to directly explore and search the latent vector space of generative image modeling.

Image Generation

Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation

no code implementations4 Sep 2018 Shu-Hsuan Hsu, I-Chao Shen, Bing-Yu Chen

In the past few years, deep reinforcement learning has been proven to solve problems which have complex states like video games or board games.

Atari Games Board Games +2

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