WA-L.C2.6

A PATCH-BASED ALGORITHM FOR DIVERSE AND HIGH FIDELITY SINGLE IMAGE GENERATION

Nicolas Cherel, Yann Gousseau, Alasdair Newson, LTCI, Télécom Paris, Institut Polytechnique de Paris, France; Andrés Almansa, MAP5, CNRS & Université de Paris, France
Session:
Machine Learning for Image & Video Synthesis
Lecture
Track:
Applications of Machine Learning
Location:
Room C2
Presentation Time:
Wed, 19 Oct, 18:05 - 18:20 China Standard Time (UTC +8)
Wed, 19 Oct, 12:05 - 12:20 Central European Time (UTC +2)
Wed, 19 Oct, 10:05 - 10:20 UTC
Wed, 19 Oct, 06:05 - 06:20 Eastern Time (UTC -4)
Session Chair:
Andre Kaup, Friedrich-Alexander-Universität Erlangen-Nürnberg
Presentation
Discussion
Resources
No resources available.
Session WA-L.C2
WA-L.C2.1: SVG VECTOR FONT GENERATION FOR CHINESE CHARACTERS WITH TRANSFORMER
Haruka Aoki, Kiyoharu Aizawa, The University of Tokyo, Japan
WA-L.C2.2: DIVERSE GENERATIVE PERTURBATIONS ON ATTENTION SPACE FOR TRANSFERABLE ADVERSARIAL ATTACKS
Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon, Korea Advanced Institute of Science and Technology (KAIST), Korea, Republic of
WA-L.C2.3: EVALUATION OF AUTOMATICALLY GENERATED VIDEO CAPTIONS USING VISION AND LANGUAGE MODELS
Luis Lebron, Noel E. O'Connor, Kevin McGuinness, Insight SFI Research Centre for Data Analytics, Dublin City University (DCU), Ireland; Yvette Graham, Trinity College Dublin, Ireland
WA-L.C2.4: ENCODER ENABLED GAN-BASED VIDEO GENERATORS
Jingbo Yang, Adrian G. Bors, University of York, United Kingdom of Great Britain and Northern Ireland
WA-L.C2.5: COMPONENT-BASED TRANSFORMATION FOR PERSON IMAGE GENERATION
Wen-Jiin Tsai, Po­-Hsiang Chen, National Yang Ming Chiao Tung University, Taiwan
WA-L.C2.6: A PATCH-BASED ALGORITHM FOR DIVERSE AND HIGH FIDELITY SINGLE IMAGE GENERATION
Nicolas Cherel, Yann Gousseau, Alasdair Newson, LTCI, Télécom Paris, Institut Polytechnique de Paris, France; Andrés Almansa, MAP5, CNRS & Université de Paris, France