Best Papers
CSC 262 - Computer Vision - Weinman
1 Introduction
We will read and discuss in class one or two of the best papers from
the most recent top computer vision conferences. In this way, we'll
be learning together:
- How to read research papers
- About the latest in computer vision research
- What the community thinks is currently important
2 Candidates
Our candidates (listed in no particular order) are drawn from CVPR
2025, CVPR 2026, ECCV 2026, and ICCV 2025. See the list of papers
below and read their abstracts.
- Generating
Physically Stable and Buildable Brick Structures from Text. A. Pun,
K. Deng, R. Liu, D. Ramanan, C. Liu, J.-Y. Zhu (ICCV '25)
- FlowEdit:
Inversion-Free Text-Based Editing Using Pre-Trained Flow Models.
V. Kulikov, M. Kleiner, I. Huberman-Spiegelglas, T. Michaeli (ICCV
'25)
- ECCV 26 TBD in September
- VGGT:
Visual Geometry Grounded Transformer. Jianyuan Wang, Minghao Chen,
Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotny.
(CVPR '25)
- MegaSaM:
Accurate, Fast and Robust Structure and Motion from Casual Dynamic
Videos. Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang,
Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely.
(CVPR '25)
- Efficiently
Reconstructing Dynamic Scenes One D4RT at a Time, Chuhan Zhang;
Guillaume Le Moing; Skanda Koppula; Ignacio Rocco; Liliane Momeni;
Junyu Xie; Shuyang Sun; Rahul Sukthankar; Joëlle K. Barral; Raia
Hadsell; Zoubin Ghahramani; Andrew Zisserman; Junlin Zhang; Mehdi
S. M. Sajjadi (CVPR '26)
- Native
and Compact Structured Latents for 3D Generation. Jianfeng Xiang;
Xiaoxue Chen; Sicheng Xu; Ruicheng Wang; Zelong Lv; Yu Deng; Hongyuan
Zhu; Yue Dong; Hao Zhao; Nicholas Jing Yuan; Jiaolong Yang. (CVPR
'26)
3 Voting
Please vote by emailing your TOP TWO choices (by number) to the instructor
by Thu 3 Dec.
4 Responses
You will be required to submit a brief 225-275 word critical response
to
each paper before class to help prepare you for the
discussion. In particular, you should note:
- What problem are they trying to solve?
- Why is the problem important?
- How does it currently get done and what are the limitations?
- What are the authors' goals?
- Does the paper have a scientific thesis? Is it falsifiable?
- What are the paper's claims?
- Are the claims substantiated (by theory or experiment)? If so, how?
- What are the limitations of the proposed approach?
- Are there ways to extend the method?
You should include at least two primary points that critique, dispute,
extend, or reinforce the paper. Submit your responses (in PDF format
only) via Gradescope; they are
due by 10:00 pm the day before
the
the beginning of class on the day of
discussion.
Acknowledgments
The questions above are inspired by and adapted from the following
works.
Fong, Philip W.L., Reading a computer science research
paper ,
SIGCSE Bulletin 41, 2 (2009), pp. 138-140.
doi:10.1145/1595453.1595493
Keshav, S., How to read a paper ,
SIGCOMM
Computer Communication Review 37, 3 (2007), pp. 83-84.
doi:dx.doi.org/10.1145/1273445.1273458