Richard Zhang
60 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Top co-authors
Research topics
Deep Learning
(36)
Computer Vision
(31)
Machine Learning
(31)
Models
(25)
Generation
(22)
Core Methods
(16)
Learning Types Β· Deep Learning
(12)
Architectures
(11)
Optimization & Theory
(11)
Processing
(11)
Artificial Intelligence
(9)
Mathematics & Optimization
(9)
Application Areas
(9)
Learning Types Β· Machine Learning
(9)
Optimization
(9)
Keywords
image generation
(12)
generative model
(11)
generative adversarial network
(10)
diffusion model
(9)
latent space
(6)
transfer learning
(5)
knowledge distillation
(4)
image synthesis
(4)
non-convex optimization
(3)
image translation
(3)
video generation
(3)
text-to-image generation
(3)
image classification
(3)
efficient computing
(2)
low-rank approximation
(2)
few-shot learning
(2)
representation learning
(2)
distribution matching
(2)
image editing
(2)
model compression
(2)
Papers
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing
AAAI 2026
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration
CVPR 2026
ID-Sim: An Identity-Focused Similarity Metric
CVPR 2026
Self-Evaluation Unlocks Any-Step Text-to-Image Generation
CVPR 2026
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
CVPR 2025
Long-Context State-Space Video World Models
ICCV 2025
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
ICCV 2025
VideoGigaGAN: Towards Detail-rich Video Super-Resolution
CVPR 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
NeurIPS 2024
Distilling Diffusion Models into Conditional GANs
ECCV 2024
Editable Image Elements for Controllable Synthesis
ECCV 2024
Image Neural Field Diffusion Models
CVPR 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
NeurIPS 2024
Lazy Diffusion Transformer for Interactive Image Editing
ECCV 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
ECCV 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
Personalized Residuals for Concept-Driven Text-to-Image Generation
CVPR 2024
TurboEdit: Real-time text-based disentangled real image editing
ECCV 2024
Ablating Concepts in Text-to-Image Diffusion Models
ICCV 2023
Computing Approximate β_p Sensitivities
NeurIPS 2023
Domain Expansion of Image Generators
CVPR 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
NeurIPS 2023
Evaluating Data Attribution for Text-to-Image Models
ICCV 2023
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
NeurIPS 2023
Multi-Concept Customization of Text-to-Image Diffusion
CVPR 2023
Scaling Up GANs for Text-to-Image Synthesis
CVPR 2023
3D-FM GAN: Towards 3D-Controllable Face Manipulation
ECCV 2022
Any-Resolution Training for High-Resolution Image Synthesis
ECCV 2022
BlobGAN: Spatially Disentangled Scene Representations
ECCV 2022
Ensembling Off-the-Shelf Models for GAN Training
CVPR 2022
GAN-Supervised Dense Visual Alignment
CVPR 2022
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
CVPR 2022
Optimal Query Complexities for Dynamic Trace Estimation
NeurIPS 2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
CVPR 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NeurIPS 2022
Anycost GANs for Interactive Image Synthesis and Editing
CVPR 2021
Editing Conditional Radiance Fields
ICCV 2021
Ensembling With Deep Generative Views
CVPR 2021
Few-Shot Image Generation via Cross-Domain Correspondence
CVPR 2021
Optimal Sketching for Trace Estimation
NeurIPS 2021
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
CVPR 2021
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences
Interspeech 2020
Aligning and Projecting Images to Class-conditional Generative Networks
ECCV 2020
CNN-Generated Images Are Surprisingly Easy to Spot... for Now
CVPR 2020
Deep Parametric Shape Predictions Using Distance Fields
CVPR 2020
Few-shot Image Generation with Elastic Weight Consolidation
NeurIPS 2020
How many samples is a good initial point worth in Low-rank Matrix Recovery?
NeurIPS 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
NeurIPS 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
ICML 2020
Swapping Autoencoder for Deep Image Manipulation
NeurIPS 2020
Detecting Photoshopped Faces by Scripting Photoshop
ICCV 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
ICCV 2019
Making Convolutional Networks Shift-Invariant Again
ICML 2019
Regularized Weighted Low Rank Approximation
NeurIPS 2019
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
NeurIPS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
NeurIPS 2018
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
ICML 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
CVPR 2018
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
CVPR 2017
Toward Multimodal Image-to-Image Translation
NeurIPS 2017