Jun-Yan Zhu
62 papers · 2014–2026 · 7 venues · across top CS/AI venues
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Research topics
Deep Learning
(46)
Models
(39)
Computer Vision
(38)
Generation
(31)
Machine Learning
(30)
Learning Types Β· Deep Learning
(17)
Learning Types Β· Machine Learning
(17)
Artificial Intelligence
(13)
Processing
(12)
Application Areas
(11)
Core AI
(11)
Core Methods
(10)
Analysis
(7)
Architectures
(7)
Optimization & Theory
(6)
Keywords
generative adversarial network
(19)
image generation
(12)
generative model
(12)
image synthesis
(9)
diffusion model
(8)
text-to-image generation
(5)
latent space
(5)
image editing
(5)
3d reconstruction
(4)
image translation
(4)
neural radiance field
(4)
view synthesis
(3)
mode collapse
(3)
video generation
(3)
text-to-image model
(3)
synthetic data
(3)
multimodal learning
(3)
knowledge distillation
(3)
semantic segmentation
(3)
conditional generative adversarial network
(3)
Papers
DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing
CVPR 2026
Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
CVPR 2026
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
ICCV 2025
Generating Multi-Image Synthetic Data for Text-to-Image Customization
ICCV 2025
Generating Physically Stable and Buildable Brick Structures from Text
ICCV 2025
Generative Photomontage
CVPR 2025
Multi-subject Open-set Personalization in Video Generation
CVPR 2025
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
ICLR 2025
Co-speech Gesture Video Generation with 3D Human Meshes
ECCV 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
NeurIPS 2024
Distilling Diffusion Models into Conditional GANs
ECCV 2024
FlashTex: Fast Relightable Mesh Texturing with LightControlNet
ECCV 2024
On the Content Bias in Frechet Video Distance
CVPR 2024
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
NeurIPS 2024
3D-aware Blending with Generative NeRFs
ICCV 2023
3D-Aware Conditional Image Synthesis
CVPR 2023
Ablating Concepts in Text-to-Image Diffusion Models
ICCV 2023
Controllable Visual-Tactile Synthesis
ICCV 2023
Dense Text-to-Image Generation with Attention Modulation
ICCV 2023
Domain Expansion of Image Generators
CVPR 2023
Evaluating Data Attribution for Text-to-Image Models
ICCV 2023
Expressive Text-to-Image Generation with Rich Text
ICCV 2023
Generalizing Dataset Distillation via Deep Generative Prior
CVPR 2023
Holistic Evaluation of Text-to-Image Models
NeurIPS 2023
Multi-Concept Customization of Text-to-Image Diffusion
CVPR 2023
Scaling Up GANs for Text-to-Image Synthesis
CVPR 2023
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
ICCV 2023
Dataset Distillation by Matching Training Trajectories
CVPR 2022
Depth-Supervised NeRF: Fewer Views and Faster Training for Free
CVPR 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
NeurIPS 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
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
ICLR 2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
CVPR 2022
Anycost GANs for Interactive Image Synthesis and Editing
CVPR 2021
Editing Conditional Radiance Fields
ICCV 2021
Ensembling With Deep Generative Views
CVPR 2021
Sketch Your Own GAN
ICCV 2021
Aligning and Projecting Images to Class-conditional Generative Networks
ECCV 2020
Differentiable Augmentation for Data-Efficient GAN Training
NeurIPS 2020
Diverse Image Generation via Self-Conditioned GANs
CVPR 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
Rewriting a Deep Generative Model
ECCV 2020
Swapping Autoencoder for Deep Image Manipulation
NeurIPS 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
ECCV 2020
Connecting Touch and Vision via Cross-Modal Prediction
CVPR 2019
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
ICLR 2019
Seeing What a GAN Cannot Generate
ICCV 2019
Semantic Image Synthesis With Spatially-Adaptive Normalization
CVPR 2019
3D-Aware Scene Manipulation via Inverse Graphics
NeurIPS 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
ICML 2018
Generating Adversarial Examples with Adversarial Networks
IJCAI 2018
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs
CVPR 2018
Spatially Transformed Adversarial Examples
ICLR 2018
Video-to-Video Synthesis
NeurIPS 2018
Visual Object Networks: Image Generation with Disentangled 3D Representations
NeurIPS 2018
Image-To-Image Translation With Conditional Adversarial Networks
CVPR 2017
Toward Multimodal Image-to-Image Translation
NeurIPS 2017
Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks
ICCV 2017
Learning a Discriminative Model for the Perception of Realism in Composite Images
ICCV 2015
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
CVPR 2014