SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Tasks	empty→coffee (512 × 512)	coffee→empty (512 × 512)
Metrics	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓
Mask-based Diffusion Methods
Inpaint + ClipSeg	94.14	22.96	27.12	0.29	14.1	0.65	4.81	148.11	36.18	25.95	0.33	12.82	0.57	5.52
Text2LIVE	106.07	28.11	28.37	0.13	20.4	0.85	2.3	142.89	39.89	29.31	0.11	20.82	0.88	2.17
Mask-free Diffusion Methods
SDEdit	74.08	20.61	27.75	0.38	16.82	0.61	3.32	134.87	33.38	26.04	0.15	15.83	0.67	3.48
P2P + NullText	103.97	24.53	25.67	0.14	24.92	0.83	1.38	138.13	31.19	25.65	0.11	24.31	0.83	1.46
CycleDiffusion	87.39	17.59	27.39	0.18	23.36	0.81	1.67	131.25	32.52	25.73	0.10	26.47	0.85	1.13
CycleNet	105.52	16.26	27.45	0.17	21.32	0.77	1.99	95.24	28.79	27.54	0.14	21.85	0.78	1.92
Tasks	empty→juice (512 × 512)	juice→empty (512 × 512)
Metrics	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓
Mask-based Diffusion Methods
Inpaint + ClipSeg	124.15	35.75	26.69	0.27	14.7	0.67	4.57	163.35	38.01	24.89	0.34	13.21	0.58	5.27
Text2LIVE	116.14	31.44	29.18	0.15	16.52	0.79	3.55	157.43	45.41	26.47	0.19	18.04	0.78	3.03
Mask-free Diffusion Methods
SDEdit	145.64	39.53	26.45	0.28	13.36	0.59	4.51	135.31	36.05	25.81	0.38	16.64	0.59	3.37
P2P + NullText	148.77	37.74	26.28	0.33	17.82	0.69	2.99	149.10	36.48	23.57	0.14	22.68	0.82	1.71
CycleDiffusion	139.76	33.41	25.78	0.16	23.99	0.80	1.91	159.39	42.89	23.16	0.15	24.15	0.78	1.71
CycleNet	79.02	23.42	27.75	0.17	20.18	0.76	2.27	114.33	28.79	26.17	0.17	19.78	0.74	2.37
Tasks	empty→milk (Low Resource, 512 × 512)	milk→empty (Low Resource, 512 × 512)
Metrics	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓
Mask-based Diffusion Methods
Inpaint + ClipSeg	138.81	30.13	27.11	0.28	14.97	0.66	4.47	185.92	41.37	26.27	0.35	13.09	0.57	5.59
Text2LIVE	110.73	30.69	30.75	0.13	20.11	0.85	2.37	166.72	49.97	28.12	0.17	19.15	0.83	2.65
Mask-free Diffusion Methods
SDEdit	125.75	28.97	28.38	0.38	16.91	0.61	3.39	142.41	39.09	26.88	0.36	16.95	0.62	3.38
P2P + NullText	125.54	29.57	25.51	0.13	25.18	0.84	1.34	147.65	40.16	24.99	0.12	22.45	0.83	1.76
CycleDiffusion	132.24	27.27	26.71	0.16	24.21	0.81	1.75	151.01	38.14	25.36	0.15	24.19	0.81	1.96
CycleNet	97.07	25.84	27.61	0.19	22.58	0.77	1.74	121.99	32.21	26.29	0.15	21.65	0.79	1.93
Tasks	empty→water (Low Resource, 512 × 512)	water→empty (Low Resource, 512 × 512)
Metrics	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓	FID↓	FIDclip↓	CLIP ↑	LPIPS↓	PSNR↑	SSIM↑	L2×104↓
Mask-basedDiffusion Methods
Inpaint + ClipSeg	135.87	32.87	26.48	0.28	15.37	0.67	4.19	191.57	42.49	24.66	0.28	14.98	0.63	4.59
Text2LIVE	133.04	42.85	30.23	0.16	21.09	0.81	2.08	172.72	50.06	26.64	0.13	21.37	0.84	2.05
Mask-free Diffusion Methods
SDEdit	147.25	39.49	28.08	0.37	17.24	0.62	3.24	143.17	39.79	27.14	0.45	16.53	0.55	3.44
P2P + NullText	132.69	30.11	25.67	0.13	25.26	0.85	1.34	171.14	38.86	23.80	0.11	25.41	0.85	1.25
CycleDiffusion	146.11	31.40	24.43	0.13	22.38	0.74	1.35	157.81	35.98	25.24	0.16	24.57	0.82	1.39
CycleNet	95.97	26.25	28.38	0.16	22.11	0.79	1.84	133.24	31.11	25.75	0.16	22.69	0.77	1.70
Table 9: The complete quantitative comparison of the state change tasks on ManiCups.
E.5 Additional Qualitative Results
We present additional qualitative examples in Figure 9 and 10.
E.6 Additional High-resolution Qualitative Results
We present additional high-resolution examples in Figure 11.
E.7 Additional Out-of-Domain Examples
We present additional OOD examples in Figure 12.
Empty Cup  $\rightarrow$
cup of juice
cup of milk
Figure 9: Additional qualitative results using CycleNet on Manicups dataset.
Figure 10: Additional qualitative comparison of our method with other baselines.
Figure 11: Additional high-resolution examples from Yosemite summer  $\leftrightarrow$  winter HD [15] and MSCOCO [26].
Figure 12: Additional examples of output diversity in the target domains and zero-shot generalization to out-of-domain distributions.