Jun-Yan Zhu
Associate Professor
Studies generative models for image synthesis and editing, connecting computer vision, graphics and learning.
Jun-Yan Zhu's lab at CMU works on image & video generation, embodied & active vision and generative & foundation models. 44 papers since 2023, 42 at top venues, mostly CVPR and ICCV. 5 PhD students. 17 alumni, most often to Adobe and OpenAI. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 95%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 17
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 9 · collecting
- 10 papers2025 · T1 9
- 9 papers2024 · T1 9
- 16 papers2023 · T1 15
T1 venuesOtherVenues: CVPR, ICCV, SIGGRAPH Asia, ICLR, NeurIPS
Research focuspaper titles that use each topic's words
- Image & video generation29 papers
- Generative & foundation models15 papers
- Embodied & active vision1 paper
- studies generative0 papers
- connecting0 papers
Paper list
From the lab homepage.
20269 papers
- CVPR (T1)DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing (opens in a new tab)
- ICML (T1)FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models (opens in a new tab)
- ICLR (T1)Learning an Image Editing Model without Image Editing Pairs (opens in a new tab)
- ICLR (T1)MotionStream: Real-Time Video Generation with Interactive Motion Controls (opens in a new tab)
- ICLR (T1)PAT3D: Physics-Augmented Text-to-3D Scene Generation (opens in a new tab)
- ICLR (T1)Scaling Group Inference for Diverse and High-Quality Generation (opens in a new tab)
- ECCV (T1)Text-based Tactile Graphics Generation for the Visually Impaired (opens in a new tab)
- NeurIPS (T1)The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric (opens in a new tab)
- ECCV (T1)Tuning-free Visual Effect Transfer across Videos (opens in a new tab)
202510 papers
- ICCV (T1)Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization (opens in a new tab)
- ICCV | IJCVExpressive Text-to-Image Generation with Rich Text (opens in a new tab)
- NeurIPS (T1)Fast Data Attribution for Text-to-Image Models (opens in a new tab)
- ICCV (T1)Generating Multi-Image Synthetic Data for Text-to-Image Customization (opens in a new tab)
- ICCV (T1)Generating Physically Stable and Buildable Brick Structures from Text (opens in a new tab)
- CVPR (T1)Generative Photomontage (opens in a new tab)
- SIGGRAPH Asia (T1)Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation (opens in a new tab)
- CVPR (T1)Multi-subject Open-set Personalization in Video Generation (opens in a new tab)
- ICLR (T1)SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models (opens in a new tab)
- SIGGRAPH Asia (T1)Visual Composer: Object-level Visual Prompts for Compositional Image Generation (opens in a new tab)
20249 papers
- ICRA (T1)CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting (opens in a new tab)
- SIGGRAPH Asia (T1)Consolidating Attention Features for Multi-view Image Editing (opens in a new tab)
- SIGGRAPH Asia (T1)Customizing Text-to-Image Diffusion with Camera Viewpoint Control (opens in a new tab)
- SIGGRAPH Asia (T1)Customizing Text-to-Image Models with a Single Image Pair (opens in a new tab)
- NeurIPS (T1)Data Attribution for Text-to-Image Models by Unlearning Synthesized Images (opens in a new tab)
- ECCV (T1)Distilling Diffusion Models into Conditional GANs (opens in a new tab)
- ECCV (T1)FlashTex: Fast Relightable Mesh Texturing with LightControlNet (opens in a new tab)
- CVPR (T1)On the Content Bias in Fréchet Video Distance (opens in a new tab)
- NeurIPS (T1)Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation (opens in a new tab)
202316 papers
- ICCV (T1)3D-aware Blending with Generative NeRFs (opens in a new tab)
- CVPR (T1)3D-aware Conditional Image Synthesis (opens in a new tab)
- ICCV (T1)Ablating Concepts in Text-to-Image Diffusion Models (opens in a new tab)
- SIGGRAPH Asia (T1)Content-Based Search for Deep Generative Models (opens in a new tab)
- ICCV (T1)Controllable Visual-Tactile Synthesis (opens in a new tab)
- ICCV (T1)Dense Text-to-Image Generation with Attention Modulation (opens in a new tab)
- CVPR (T1)Domain Expansion of Image Generators (opens in a new tab)
- NeurIPS | TPAMIEfficient Spatially Sparse Inference for Conditional GANs and Diffusion Models (opens in a new tab)
- ICCV (T1)Evaluating Data Attribution for Text-to-Image Models (opens in a new tab)
- CVPR (T1)Generalizing Dataset Distillation via Deep Generative Prior (opens in a new tab)
- NeurIPS (T1)Holistic Evaluation of Text-To-Image Models (opens in a new tab)
- CVPR (T1)Multi-Concept Customization of Text-to-Image Diffusion (opens in a new tab)
Where alumni went17 listed, 31% to industry
Industry 4Academia 9
Most often to
- Adobe
- OpenAI
Also to
- MIT
- Caltech
- NYU
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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