← Authors

Richard Zhang

57 papers · 2017–2026 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (86) 🌍 Conference Polyglot (6) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (27) πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ’Ž Century Club (56) πŸ—ƒοΈ Keyword Collector (244) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (10)

Conferences

CVPR (20) NIPS (16) ECCV (9) ICCV (7) ICML (3) AAAI (1) INTERSPEECH (1)

Top co-authors

Eli Shechtman (27) Jun-Yan Zhu (17) Alexei A. Efros (10) Taesung Park (10) MICHAEL GHARBI (8) Oliver Wang (7) Phillip Isola (5) David Woodruff (5) Sheng-Yu Wang (5) Yijun Li (4)

Research topics

Statistics (1)

Keywords

image generation (11) generative model (10) generative adversarial network (10) latent space (6) diffusion model (6) transfer learning (5) image synthesis (4) knowledge distillation (4) nonconvex optimization (3) image translation (3) video generation (3) image classification (3) domain generalization (2) matrix completion (2) representation learning (2) distribution matching (2) query complexity (2) few-shot learning (2) model compression (2) text-to-image generation (2)

Papers

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing AAAI 2026
VideoGigaGAN: Towards Detail-rich Video Super-Resolution CVPR 2025
Long-Context State-Space Video World Models ICCV 2025
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models ICCV 2025
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models CVPR 2025
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection ECCV 2024
Distilling Diffusion Models into Conditional GANs ECCV 2024
Lazy Diffusion Transformer for Interactive Image Editing ECCV 2024
Editable Image Elements for Controllable Synthesis ECCV 2024
Improved Distribution Matching Distillation for Fast Image Synthesis NIPS 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NIPS 2024
Personalized Residuals for Concept-Driven Text-to-Image Generation CVPR 2024
Image Neural Field Diffusion Models CVPR 2024
One-step Diffusion with Distribution Matching Distillation CVPR 2024
TurboEdit: Real-time text-based disentangled real image editing ECCV 2024
Domain Expansion of Image Generators CVPR 2023
Computing Approximate $\ell_p$ Sensitivities NIPS 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data NIPS 2023
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NIPS 2023
Scaling Up GANs for Text-to-Image Synthesis CVPR 2023
Multi-Concept Customization of Text-to-Image Diffusion CVPR 2023
Ablating Concepts in Text-to-Image Diffusion Models ICCV 2023
Evaluating Data Attribution for Text-to-Image Models ICCV 2023
Optimal Query Complexities for Dynamic Trace Estimation NIPS 2022
On Aliased Resizing and Surprising Subtleties in GAN Evaluation CVPR 2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing CVPR 2022
GAN-Supervised Dense Visual Alignment CVPR 2022
Ensembling Off-the-Shelf Models for GAN Training CVPR 2022
Any-Resolution Training for High-Resolution Image Synthesis ECCV 2022
BlobGAN: Spatially Disentangled Scene Representations ECCV 2022
3D-FM GAN: Towards 3D-Controllable Face Manipulation ECCV 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Spatially-Adaptive Pixelwise Networks for Fast Image Translation CVPR 2021
Optimal Sketching for Trace Estimation NIPS 2021
Editing Conditional Radiance Fields ICCV 2021
Ensembling With Deep Generative Views CVPR 2021
Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021
Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Few-shot Image Generation with Elastic Weight Consolidation NIPS 2020
How many samples is a good initial point worth in Low-rank Matrix Recovery? NIPS 2020
Swapping Autoencoder for Deep Image Manipulation NIPS 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples NIPS 2020
CNN-Generated Images Are Surprisingly Easy to Spot... for Now CVPR 2020
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences INTERSPEECH 2020
Deep Parametric Shape Predictions Using Distance Fields CVPR 2020
Aligning and Projecting Images to Class-conditional Generative Networks ECCV 2020
Detecting Photoshopped Faces by Scripting Photoshop ICCV 2019
Making Convolutional Networks Shift-Invariant Again ICML 2019
Regularized Weighted Low Rank Approximation NIPS 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation ICCV 2019
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization NIPS 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric CVPR 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NIPS 2018
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction CVPR 2017
Toward Multimodal Image-to-Image Translation NIPS 2017