output
20102026
most citedToward Multimodal Image-to-Image Translation

1k citations

Showing 2023 · cs.CVShow all

7 papers · 2 filters

cs.CV2023★ 3 cited

FocalPose++: Focal Length and Object Pose Estimation via Render and Compare

Martin Cífka, Georgy Ponimatkin, Yann Labbé +4

We introduce FocalPose++, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a kno…

cs.CV2023

MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors

Nakyeong Yang, Minsung Kim, Seunghyun Yoon +2

With the explosion of multimedia content, video moment retrieval (VMR), which aims to detect a video moment that matches a given text query from a video, has been studied intensive…

cs.CV2023★ 49 cited

Language-based Photo Color Adjustment for Graphic Designs

Zhenwei Wang, Nanxuan Zhao, Gerhard Hancke +1

Adjusting the photo color to associate with some design elements is an essential way for a graphic design to effectively deliver its message and make it aesthetically pleasing. How…

cs.CV2023★ 9 cited

Diffusion-Augmented Depth Prediction with Sparse Annotations

Jiaqi Li, Yiran Wang, Zihao Huang +4

Depth estimation aims to predict dense depth maps. In autonomous driving scenes, sparsity of annotations makes the task challenging. Supervised models produce concave objects due t…

cs.CV2023★ 32 cited

PhotoMat: A Material Generator Learned from Single Flash Photos

Xilong Zhou, Miloš Hašan, Valentin Deschaintre +4

Authoring high-quality digital materials is key to realism in 3D rendering. Previous generative models for materials have been trained exclusively on synthetic data; such data is l…

cs.CV2023★ 17 cited

FashionTex: Controllable Virtual Try-on with Text and Texture

Anran Lin, Nanxuan Zhao, Shuliang Ning +3

Virtual try-on attracts increasing research attention as a promising way for enhancing the user experience for online cloth shopping. Though existing methods can generate impressiv…