Sept. 14th 2018   
 Munich, Germany


Workshop and Challenge on
Perceptual Image Restoration
and Manipulation


in conjunction with ECCV 2018


The Workshop

A key goal in image restoration, manipulation and generation, is to produce images that are visually appealing to human observers. In recent years, there has been great interest as well as significant progress in perceptually-aware computer vision algorithms. However, many works have observed a fundamental disagreement between this recent leap in performance, as evaluated by human observers, and the objective assessment of these methods by common evaluation metrics (e.g. PSNR, SSIM). This workshop will revolve around two main themes: (i) How to design algorithms which satisfy human observers, and (ii) How to evaluate the perceptual quality of such algorithms.

Invited talks

The workshop will host invited talks by William Freeman (MIT, Google AI), Eli Shechtman (Adobe Research), Tomer Michaeli (Technion), Jiaya Jia (CUHK) and Kavita Bala (Cornell).

Challenges

Three challenges on perceptual super-resolution, image enhancement on smartphones, and hyperspectral reconstruction will compare and rank perceptual-quality based methods.

Poster session

Exciting new results of recent and ongoing research projects will be presented in a poster session.

Invited Speakers

William T. Freeman

MIT, Google AI

Eli Shechtman

Adobe Research

Tomer Michaeli

Technion

Jiaya Jia

CUHK

Kavita Bala

Cornell

Schedule

Time

Event

8:30

Opening

8:40

Invited talk - Jiaya Jia (CUHK)
"Two Paths to Image Restoration: Deep Learning and Not Using It"

9:05

Invited talk - Eli Shechtman (Adobe Research)
"Image Manipulation on the Natural Image Manifold"

9:30

Spotlights

10:00

Poster session and coffee break

10:45

Invited talk - Kavita Bala (Cornell)

11:10

Invited talk - Tomer Michaeli (Technion)
"The Perception-Distortion Tradeoff"

11:35

The PIRM challenges on:
(a) Perceptual Super-resolution,
(b) Perceptual Enhancement on Smartphones,
(c) Spectral Image Super-resolution

12:05

Invited talk - William Freeman (MIT, Google AI)

12:30

Closing

The Challenges

The PIRM challenges will promote perceptual image restoration. State-of-the-art methods in terms of perceptual quality (e.g. SRGAN) are rated poorly by "simple" distortion measures such as PSNR and SSIM. Therefore, in contrast to previous challenges, the evaluation and ranking will be done in a perceptual-quality aware manner based on [Blau and Michaeli, CVPR'18]. This unified approach quantifies the accuracy and perceptual quality of algorithms jointly, and will enable perceptual-driven methods to compete alongside algorithms that target PSNR maximization.

The challenge results will be announced at the workshop. Challenge participants may submit papers for the ECCV workshop proceedings. Papers will be accepted based on: (i) academic quality, and (ii) challenge ranking.

Super-Resolution

Challenge on 4x super-resolution from a single-image.

Enhancement on Smartphones

Challenge on enhancing photos on mobile phones.

Hyperspectral reconstruction

Challenge on reconstrcuting hyper-spectral images.

Important dates

Date

Event

May 1st

Validation data released

July 18th

Test data released

July 25th

Final results submission deadline

July 29th

Poster submission deadline

August 1st

Challenge results released to participants
Poster decisions released

August 22nd

Paper submission deadline
(optional for challenge participants only)

September 5th

Notification of accepted papers

September 14th

PIRM 2018 Workshop

September 30th

Camera-ready deadline

* All dates refer to 11:59 PM CET

Sponsors

Organizers

Lihi Zelnik-Manor

Technion, Israel

Tomer Michaeli

Technion, Israel

Radu Timofte

ETH Zurich, Switzerland

Roey Mechrez

Technion, Israel

Yochai Blau

Technion, Israel

Co-organizers

Andrey Ignatov

ETH Zurich, Switzerland

Antonio Robles-Kelly

Australian National University and Date61-CSIRO

Mehrdad Shoeiby

Data61-CSIRO