Richard Zhang

Orcid: 0000-0003-2507-4674

Affiliations:
  • Adobe Research, San Francisco, CA, USA
  • University of California, Berkeley, USA (former)


According to our database1, Richard Zhang authored at least 59 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
TurboEdit: Instant text-based image editing.
CoRR, 2024

Data Attribution for Text-to-Image Models by Unlearning Synthesized Images.
CoRR, 2024

Improved Distribution Matching Distillation for Fast Image Synthesis.
CoRR, 2024

VideoGigaGAN: Towards Detail-rich Video Super-Resolution.
CoRR, 2024

Customizing Text-to-Image Diffusion with Camera Viewpoint Control.
CoRR, 2024

Jump Cut Smoothing for Talking Heads.
CoRR, 2024

TurboEdit: Instant Text-Based Image Editing.
Proceedings of the Computer Vision - ECCV 2024, 2024

Lazy Diffusion Transformer for Interactive Image Editing.
Proceedings of the Computer Vision - ECCV 2024, 2024

Editable Image Elements for Controllable Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024

Distilling Diffusion Models Into Conditional GANs.
Proceedings of the Computer Vision - ECCV 2024, 2024

One-Step Diffusion with Distribution Matching Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Personalized Residuals for Concept-Driven Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Image Neural Field Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
The Low-Rank Simplicity Bias in Deep Networks.
Trans. Mach. Learn. Res., 2023

Customizing Motion in Text-to-Video Diffusion Models.
CoRR, 2023

Zero-shot Image-to-Image Translation.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Detection of AI-Generated Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Evaluating Data Attribution for Text-to-Image Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ablating Concepts in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Expansion of Image Generators.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Concept Customization of Text-to-Image Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Scaling up GANs for Text-to-Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ASSET: autoregressive semantic scene editing with transformers at high resolutions.
ACM Trans. Graph., 2022

3D-FM GAN: Towards 3D-Controllable Face Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

BlobGAN: Spatially Disentangled Scene Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Any-Resolution Training for High-Resolution Image Synthesis.
Proceedings of the Computer Vision - ECCV 2022, 2022

GAN-Supervised Dense Visual Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Aliased Resizing and Surprising Subtleties in GAN Evaluation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ensembling Off-the-shelf Models for GAN Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation.
CoRR, 2021

Contrastive Feature Loss for Image Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Editing Conditional Radiance Fields.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CDPAM: Contrastive Learning for Perceptual Audio Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring Sketch-based Character Design Guided by Automatic Colorization.
Proceedings of the 47th Graphics Interface Conference, 2021

Spatially-Adaptive Pixelwise Networks for Fast Image Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-Shot Image Generation via Cross-Domain Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Ensembling With Deep Generative Views.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Anycost GANs for Interactive Image Synthesis and Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Image Morphing With Perceptual Constraints and STN Alignment.
Comput. Graph. Forum, 2020

Swapping Autoencoder for Deep Image Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Few-shot Image Generation with Elastic Weight Consolidation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Contrastive Learning for Unpaired Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Transforming and Projecting Images into Class-Conditional Generative Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

CNN-Generated Images Are Surprisingly Easy to Spot... for Now.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Parametric Shape Predictions Using Distance Fields.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Making Convolutional Networks Shift-Invariant Again.
Proceedings of the 36th International Conference on Machine Learning, 2019

Detecting Photoshopped Faces by Scripting Photoshop.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Image Synthesis for Self-Supervised Visual Representation Learning.
PhD thesis, 2018

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Real-time user-guided image colorization with learned deep priors.
ACM Trans. Graph., 2017

Toward Multimodal Image-to-Image Translation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Colorful Image Colorization.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Sensor fusion for semantic segmentation of urban scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Automatic identification of window regions on indoor point clouds using LiDAR and cameras.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014


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