LoViF @ CVPR 2026

The 1st Workshop on

Low-Level Vision
Frontiers

with Generative AI Preference Optimization Agentic Systems

Join us to explore the AGI-oriented future where generative models, reward learning, and autonomous agents redefine low-level vision.

LOVIF
LoViF
[Low-Level Vision Frontiers]

Call for Papers

We invite submissions on topics bridging low-level vision with AGI trends. The submission follows the template of CVPR2026 and does not exceed 8 pages (not including references)

Generative Models for Visual Processing

Low-level vision (e.g. restoration, enhancement, compression, perception) with visual autoregressive modeling (VAR), diffusion models, and GAN...; Low-level vision for AI-generated contents (AIGC images/videos and others);...

Reward Models & Preference Optimization in Visual Processing

Explainable quality assessment and reward models for generation or processing; Preference optimization (e.g., DPO, GRPO) for viusal processing and perception; ...

Agentic Systems for Interactive Low-Level Vision

Human-machine interaction theory in visual processing; Low-level agentic systems with LLMs/LVMs; Universal framework design; ...

Compact and Informative Low-level Representation

Latent compression/Cache/Acceleartion/Quantization/sparse attention for representation, visual signal generation or low-level processing; Low-level token compression and visual tokenizer; ...

Low-level Vision for Machine Tasks

Data coding, streaming, visual processing for machine and intelligent tasks, such as large fundation models (LVMs), autonomous vehicles, robotics, or UAVs...

Low-level Vision in World Models

3D/4D (gaussian splatting, Nerf, point cloud...) compression, reconstruction/generation, audio-visual benchmark, editing, gaussian splatting, world model evaluation, rendering \& simulation pipelines...

LLMs & Multi-modal LLMs for Low-level Tasks

Multi-modal low-level visual signal processing, compression and related instruction tuning, prompt techniques and zero/few-shot in-context learning...

Ethics & Social Impact for Generative Low-level Vision

Ethical and impacts of generative low-level vision, including privacy in agentic systems, safety and robustness for downstream tasks, and impacts in healthcare and biomedical imaging...

Invited Speakers

To Be Determined

We have invited some experts in generative models and low-level vision from school and industry.
Please check back soon for updates.

LoViF 2026 Challenges

Participate in our challenge tracks.

CHALLENGE START Feb 15, 2026
01

TBD

TBD.

02

TBD

TBD

03

TBD

TBD

Important Dates

Dec 28, 2025

Paper Submission Open

OpenReview opens

TBD

Challenge Submission Open

Challenge tracks open

Mar 12, 2026

Paper Submission Deadline

Deadline (AoE)

Mar 25, 2026

Acceptance Notification

Decisions sent

Organizing Team

Main Organizers(TBD)

Xin Li

Xin Li

USTC

Yeying Jin

Yeying Jin

Tencent

Lanqing Guo

Lanqing Guo

UT Austin

Bihan Wen

Bihan Wen

NTU

Jian Wang

Jian Wang

Snap Research

Sina Alemohammad

Sina Alemohammad

UT Austin

Kun Yuan

Kun Yuan

Kuaishou

Zhibo Chen

Zhibo Chen

USTC

Weiping Li

Weiping Li

USTC

Robby T. Tan

Robby T. Tan

NUS

Elisa Ricci

Elisa Ricci

Univ. of Trento

Michael S. Brown

Michael S. Brown

York Univ.

Co-Organizers

// To Be Determined (TBD)

Program Committee

// To Be Determined (TBD)