Join us to explore the AGI-oriented future where generative models, reward learning, and autonomous agents redefine low-level vision.
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)
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);...
Explainable quality assessment and reward models for generation or processing; Preference optimization (e.g., DPO, GRPO) for viusal processing and perception; ...
Human-machine interaction theory in visual processing; Low-level agentic systems with LLMs/LVMs; Universal framework design; ...
Latent compression/Cache/Acceleartion/Quantization/sparse attention for representation, visual signal generation or low-level processing; Low-level token compression and visual tokenizer; ...
Data coding, streaming, visual processing for machine and intelligent tasks, such as large fundation models (LVMs), autonomous vehicles, robotics, or UAVs...
3D/4D (gaussian splatting, Nerf, point cloud...) compression, reconstruction/generation, audio-visual benchmark, editing, gaussian splatting, world model evaluation, rendering \& simulation pipelines...
Multi-modal low-level visual signal processing, compression and related instruction tuning, prompt techniques and zero/few-shot in-context learning...
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...
We have invited some experts in generative models and low-level vision from school and industry.
Please check back soon for updates.
Participate in our challenge tracks.
OpenReview system opens for submissions
OpenReview opens
Challenge websites open for submission
Challenge tracks open
Workshop papers (11:59 PM AoE)
Deadline (AoE)
Decisions sent to authors
Decisions sent
USTC
Tencent
UT Austin
NTU
Snap Research
UT Austin
Kuaishou
USTC
USTC
NUS
Univ. of Trento
York Univ.