Matthew Fisher
Most Recent Affiliation(s):
- Adobe Inc., Stanford University
Learning Category: Jury Member:
Learning Category: Presentation(s):
Type: [Technical Papers]
ASSET: autoregressive semantic scene editing with transformers at high resolutions Presenter(s): [Liu] [Shetty] [Hinz] [Fisher] [Zhang] [Park] [Kalogerakis]
[SIGGRAPH 2022]
Type: [Technical Papers]
Interactive Monte Carlo denoising using affinity of neural features Presenter(s): [Işık] [Mullia] [Fisher] [Eisenmann] [Gharbi]
[SIGGRAPH 2021]
Type: [Posters]
Concurrent Editing of Vector Graphics using Similarity Presenter(s): [Phogat] [Batra] [Fisher]
Entry No.: [08]
[SIGGRAPH 2020]
Type: [Posters]
Skinning Vector Graphics with GANs Presenter(s): [Phogat] [Fisher] [Kaufman] [Batra]
Entry No.: [70]
[SIGGRAPH 2019]
Type: [Technical Papers]
Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging Presenter(s): [DeVito] [Mara] [Zollhöfer] [Bernstein] [Ragan-Kelley] [Theobalt] [Hanrahan] [Fisher] [Niessner]
[SIGGRAPH 2018]
Type: [Technical Papers]
Ebb: A DSL for Physical Simulation on CPUs and GPUs Presenter(s): [Bernstein] [Shah] [Lemire] [DeVito] [Fisher] [Levis] [Hanrahan]
[SIGGRAPH 2016]
Type: [Technical Papers]
PiGraphs: learning interaction snapshots from observations Presenter(s): [Savva] [Chang] [Hanrahan] [Fisher] [Nießner]
[SIGGRAPH 2016]
Type: [Technical Papers]
Real-time non-rigid reconstruction using an RGB-D camera Presenter(s): [Zollhöfer] [Nießner] [Izadi] [Rehmann] [Zach] [Fisher] [Wu] [Fitzgibbon] [Loop] [Theobalt] [Stamminger]
[SIGGRAPH 2014]
Type: [Technical Papers]
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs Presenter(s): [Lin] [Ritchie] [Fisher] [Hanrahan]
[SIGGRAPH 2013]
Type: [Technical Papers]
Synthesis of Tiled Patterns Using Factor Graphs Presenter(s): [Yeh] [Breeden] [Yang] [Fisher] [Hanrahan]
[SIGGRAPH 2013]
Role(s):
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