Lanqing Guo
19 papers · 2023–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (31) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π¬ Deep Specialist (10)
π€
Dynamic Duo
(15)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(94)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Computer Vision
(15)
Deep Learning
(15)
Processing
(12)
Models
(10)
Machine Learning
(9)
Learning Types Β· Deep Learning
(6)
Application Areas
(4)
Generation
(4)
Learning Types Β· Machine Learning
(3)
Core Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Techniques
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Keywords
image restoration
(6)
diffusion model
(5)
shadow removal
(4)
image reconstruction
(2)
entropy coding
(2)
image generation
(2)
flow model
(2)
generative model
(2)
latent space
(2)
image compression
(1)
channel attention
(1)
zero-shot learning
(1)
multimodal learning
(1)
model distillation
(1)
few-shot learning
(1)
image denoising
(1)
progressive learning
(1)
knowledge distillation
(1)
image super-resolution
(1)
neural rendering
(1)
Papers
FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing
WACV 2026
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images
CVPR 2026
HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image
CVPR 2026
Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models
AAAI 2026
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
CVPR 2025
SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal
CVPR 2025
Training-Free Text-Guided Image Editing with Visual Autoregressive Model
ICCV 2025
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
NeurIPS 2024
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
ECCV 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
CVPR 2024
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
CVPR 2024
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
ECCV 2024
Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal
ICCV 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
ICCV 2023
Frequency Guidance Matters in Few-Shot Learning
ICCV 2023
Raw Image Reconstruction With Learned Compact Metadata
CVPR 2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
CVPR 2023
ShadowFormer: Global Context Helps Shadow Removal
AAAI 2023
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model
CVPR 2023