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Song Zhang 0007

dblp:77/3067-7 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-6252-3291ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Rendering · 80% Computational photography and imaging · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
antialiasing
0.812024
Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing · ACM Trans. Graph. 2024
Rendering › lens and aperture model
defocus rendering
0.812024
Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing · ACM Trans. Graph. 2024
Computational photography and imaging
depth of field
0.812024
Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing · ACM Trans. Graph. 2024
Rendering
global illumination
0.812024
Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing · ACM Trans. Graph. 2024
Rendering › sampling
subpixel sampling
0.812024
Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing · ACM Trans. Graph. 2024

Methods — techniques the papers use, named apart from their topics

reservoir resampling · 0.8importance sampling · 0.8
YearPublicationVenuePosition
2025 Many-Light Rendering Using ReSTIR-Sampled Shadow Maps
abstract
Abstract We present a practical method targeting dynamic shadow maps for many light sources in real‐time rendering. We compute full‐resolution shadow maps for a subset of lights, which we select with spatiotemporal reservoir resampling (ReSTIR). Our selection strategy automatically regenerates shadow maps for lights with the strongest contributions to pixels in the current camera view. The remaining lights are handled using imperfect shadow maps, which provide low‐resolution shadow approximation. We significantly reduce the computation and storage compared to using all full‐resolution shadow maps and substantially improve shadow quality compared to handling all lights with imperfect shadow maps.
Song Zhang 0007, Daqi Lin, Chris Wyman, Cem Yuksel
Comput. Graph. Forum1
2024 Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing
abstract
Recent advancements in spatiotemporal reservoir resampling (ReSTIR) leverage sample reuse from neighbors to efficiently evaluate the path integral. Like rasterization, ReSTIR methods implicitly assume a pinhole camera and evaluate the light arriving at a pixel through a single predetermined subpixel location at a time (e.g., the pixel center). This prevents efficient path reuse in and near pixels with high-frequency details. We introduce Area ReSTIR , extending ReSTIR reservoirs to also integrate each pixel's 4D ray space, including 2D areas on the film and lens. We design novel subpixel-tracking temporal reuse and shift mappings that maximize resampling quality in such regions. This robustifies ReSTIR against high-frequency content, letting us importance sample subpixel and lens coordinates and efficiently render antialiasing and depth of field.
Song Zhang 0007, Daqi Lin, Markus Kettunen 0001, Cem Yuksel, Chris Wyman
ACM Trans. Graph.1